From 4f6958332d40981e321473954e9135333cb3a995 Mon Sep 17 00:00:00 2001 From: Ryan McMinds Date: Mon, 15 Nov 2021 22:04:51 -0500 Subject: [PATCH 01/13] change script for inputs that have not yet been demultiplexed --- microbiomes/qc_16S/1_init_QC.sh | 80 ++++++++++++++++++--------------- 1 file changed, 45 insertions(+), 35 deletions(-) diff --git a/microbiomes/qc_16S/1_init_QC.sh b/microbiomes/qc_16S/1_init_QC.sh index 02a8f1e..6794505 100644 --- a/microbiomes/qc_16S/1_init_QC.sh +++ b/microbiomes/qc_16S/1_init_QC.sh @@ -1,49 +1,59 @@ #!/bin/bash -#SBATCH --job-name=1_init-qc +#SBATCH --job-name=01_init_qc #SBATCH --partition=rra #SBATCH --qos=rra #SBATCH --mail-user=salexander4@usf.edu #SBATCH --mail-type=END,FAIL -#SBATCH --output=logs/1_init-qc.out -#SBATCH --error=logs/1_init-qc.err +#SBATCH --output=logs/01_init_qc.out #SBATCH --ntasks=1 #SBATCH --nodes=1 #SBATCH --cpus-per-task=1 -#SBATCH --mem=20#SBATCH --time=01:00:00 +#SBATCH --mem=20 +#SBATCH --time=01:00:00 outdir=$WORK/output/dada2_tutorial -indir=$WORK/input/dada2_tutorial/MiSeq_SOP +in_fwd= +in_rev= +barcodes_fwd=barcodes_fwd.fasta +barcodes_rev=barcodes_rev.fasta nthreads=1 -#fwdprimer=GTGYCAGCMGCCGCGGTAA -#revprimer=GGACTACNVGGGTWTCTAAT - -mkdir -p ${outdir}/trimmed/ -mkdir -p ${outdir}/filtered/ - -for file in ${indir}/*_R1*fastq; do - - # trim "R1" from filenames to get Sample IDs that match mapping file - filename=$(basename $file) - sampleid=${filename/_*/} - - ## trim primers from sequences, and discard any sequences that don't contain both full primers exactly at the beginnings of the reads. - # (a) merge paired-end reads such that short reads, where the read is longer than the insertion (such as mitochondria), are not discarded, and nucleotides are trimmed that extend past the beginning of the paired read (which are just adaptor sequences) - ## (b) filter merged reads based on 'expected errors' and a minimum read length. This function determines the likelihood that each read has an error based on all the (merged) quality scores. If even one error is expected to occur within the read (including even the presence of a single 'N'), it throws out the entire read. No trimming occurs, which is theoretically better for downstream clustering and denoising applications. This command also changes the fasta headers in the output so they fit the format ">sampleID_arbitraryreadnumber" - - #module purge - #module load hub.apps/anaconda3 - #source activate cutadapt - #cutadapt --discard-untrimmed --pair-filter=any -o ${outdir}/trimmed/${sampleid}_R1.fastq -p ${outdir}/trimmed/${sampleid}_R2.fastq ${file} ${file/R1/R2} - conda deactivate - module purge - module load apps/vsearch - vsearch \ - --fastq_mergepairs ${file} \ - --reverse ${file/R1/R2} \ - --fastq_allowmergestagger \ - --fasta_width 0 \ - --threads ${nthreads} \ - --fastqout ${outdir}/merged/${sampleid}.fastq + +mkdir -p ${outdir}/1_init_QC/demultiplexed/ +mkdir -p ${outdir}/1_init_QC/merged + +# trim indices and primers from sequences, demultiplex, and discard any sequences that don't contain both full barcodes and primers +module purge +module load hub.apps/anaconda3 +source activate cutadapt +cutadapt \ + --no-indels \ + --discard-untrimmed \ + --pair-filter=any \ + -g file:${barcodes_fwd} \ + -G file:${barcodes_rev} \ + -o ${outdir}/trimmed/{name1}-{name2}_R1.fastq \ + -p ${outdir}/trimmed/{name1}-{name2}_R2.fastq \ + ${in_fwd} \ + ${in_rev} + +for file in ${outdir}/1_init_QC/demultiplexed/*_R1.fastq; do + + # trim "R1" from filenames to get Sample IDs that match mapping file + filename=$(basename $file) + sampleid=${filename/_*/} ## need to somehow translate the filenames to sample IDs (this doesn't actually do that) + + # merge paired-end reads such that short reads, where the read is longer than the insertion (such as mitochondria), are not discarded, and nucleotides are trimmed that extend past the beginning of the paired read (which are just adaptor sequences) + + conda deactivate + module purge + module load apps/vsearch + vsearch \ + --fastq_mergepairs ${file} \ + --reverse ${file/R1/R2} \ + --fastq_allowmergestagger \ + --fasta_width 0 \ + --threads ${nthreads} \ + --fastqout ${outdir}/1_init_QC/merged/${sampleid}.fastq done From 62914fe542e63d306731106c0567fdfff8f76638 Mon Sep 17 00:00:00 2001 From: Ryan McMinds Date: Mon, 15 Nov 2021 22:06:27 -0500 Subject: [PATCH 02/13] set up new workflow --- .../qc_16S/{1_init_QC.sh => 01_init_QC.sh} | 0 microbiomes/qc_16S/02_dada2.r | 12 + microbiomes/qc_16S/2_cluster.sh | 53 - microbiomes/qc_16S/3_create_otu_table.sh | 19 - microbiomes/qc_16S/4_MED.sh | 53 - microbiomes/zip_glm/zip_glm | Bin 0 -> 2026976 bytes microbiomes/zip_glm/zip_glm.hpp | 1351 +++++++++++++++++ 7 files changed, 1363 insertions(+), 125 deletions(-) rename microbiomes/qc_16S/{1_init_QC.sh => 01_init_QC.sh} (100%) create mode 100644 microbiomes/qc_16S/02_dada2.r delete mode 100644 microbiomes/qc_16S/2_cluster.sh delete mode 100644 microbiomes/qc_16S/3_create_otu_table.sh delete mode 100644 microbiomes/qc_16S/4_MED.sh create mode 100755 microbiomes/zip_glm/zip_glm create mode 100644 microbiomes/zip_glm/zip_glm.hpp diff --git a/microbiomes/qc_16S/1_init_QC.sh b/microbiomes/qc_16S/01_init_QC.sh similarity index 100% rename from microbiomes/qc_16S/1_init_QC.sh rename to microbiomes/qc_16S/01_init_QC.sh diff --git a/microbiomes/qc_16S/02_dada2.r b/microbiomes/qc_16S/02_dada2.r new file mode 100644 index 0000000..9243895 --- /dev/null +++ b/microbiomes/qc_16S/02_dada2.r @@ -0,0 +1,12 @@ +#!/bin/bash +#SBATCH --job-name=02_dada2 +#SBATCH --partition=rra +#SBATCH --qos=rra +#SBATCH --mail-user=salexander4@usf.edu +#SBATCH --mail-type=END,FAIL +#SBATCH --output=logs/02_dada2.out +#SBATCH --ntasks=1 +#SBATCH --nodes=1 +#SBATCH --cpus-per-task=1 +#SBATCH --mem=20 +#SBATCH --time=01:00:00 diff --git a/microbiomes/qc_16S/2_cluster.sh b/microbiomes/qc_16S/2_cluster.sh deleted file mode 100644 index 00dcc90..0000000 --- a/microbiomes/qc_16S/2_cluster.sh +++ /dev/null @@ -1,53 +0,0 @@ -source ~/.bashrc - -outdir=/raid1/home/micro/mcmindsr/ryan/20170228_swarm_plus_MED/ -nthreads=9 - -mkdir ${outdir}/swarm/ - -## dereplicate sequences -vsearch --derep_fulllength ${outdir}/seqs.fna --output ${outdir}/seqs_derep.fasta --uc seqs_derep.uc --relabel_sha1 --relabel_keep --sizeout --threads ${nthreads} --fasta_width 0 - -## run swarm, with fastidious option (merge rare and similar OTUs) and with breaking -swarm-2.1.12-linux-x86_64 \ --d 1 -z -f -t ${nthreads} \ --w ${outdir}/swarm/swarm_rep_set.fasta \ --l ${outdir}/swarm/swarm.log \ --s ${outdir}/swarm/swarm_statistics.txt \ --o ${outdir}/swarm/swarms.txt \ --u ${outdir}/swarm/swarms.uc \ -< ${outdir}/seqs_derep.fasta - -## sort swarm reps -vsearch --sortbysize ${outdir}/swarm/swarm_rep_set.fasta --fasta_width 0 --output ${outdir}/swarm/swarm_rep_set_sorted.fasta - -## (c) detect and remove chimeras using uchime denovo -vsearch --uchime_denovo ${outdir}/swarm/swarm_rep_set_sorted.fasta --fasta_width 0 --nonchimeras ${outdir}/swarm/swarm_rep_set_sorted_no_chimeras.fasta --threads ${nthreads} - -## get all seqs from each OTU above a certain size and that isn't a chimera (code modified from https://github.com/torognes/swarm ) -INPUT_SWARM="${outdir}/swarm/swarms.txt" -INPUT_STATS="${outdir}/swarm/swarm_statistics.txt" -INPUT_FASTA="${outdir}/seqs_derep.fasta" -MIN_READS=100 -OUTPUT_FOLDER="${outdir}/swarms_fastas" -AMPLICONS="${outdir}/swarms_fasta_temp.txt" -TEMPLATE="${outdir}/swarm/swarm_rep_set_sorted_no_chimeras.fasta" - -mkdir "${OUTPUT_FOLDER}" - -sort -k2,2nr "${INPUT_STATS}" | \ -awk -v MIN_READS="${MIN_READS}" 'NR==FNR {dict[$1]=1} NR!=FNR && $2 >= MIN_READS && $3 in dict {print $3}' \ -RS='>' FS=';' "${TEMPLATE}" \ -RS='\\n' FS='\\s' - | \ -while read SEED ; do - grep -m 1 "^${SEED}" "${INPUT_SWARM}" | \ - tr " " "\n" | sed -e 's/^/>/' > "${AMPLICONS}" - grep -A 1 -F -f "${AMPLICONS}" "${INPUT_FASTA}" | \ - sed -e '/^--$/d' > "${OUTPUT_FOLDER}/${SEED}.fasta" -done -rm "${AMPLICONS}" - - - -## (d) remove extremely short reads, which are most likely host mitochondria -vsearch --fastx_filter ${outdir}/swarm/swarm_rep_set_sorted_no_chimeras.fasta --fastq_minlen 220 --fastaout ${outdir}/swarm/swarm_rep_set_sorted_no_chimeras_no_shortreads.fna --fasta_width 0 --threads ${nthreads} diff --git a/microbiomes/qc_16S/3_create_otu_table.sh b/microbiomes/qc_16S/3_create_otu_table.sh deleted file mode 100644 index 170258e..0000000 --- a/microbiomes/qc_16S/3_create_otu_table.sh +++ /dev/null @@ -1,19 +0,0 @@ -## read first file and make a dictionary where the keys correspond to unique sequence hashes and the values correspond to swarm ids -## read second file to make dictionary that translates original names to hash-names -## read third file that maps original sequences to unique sequences; translate each original sequence's corresponding unique sequence to the hash name and look that up in the swarm dictionary to find the swarm that it belongs to - -awk 'BEGIN {nfile=0} \ -FNR==1 {nfile+=1} \ -nfile==1 && $1~"H" {swarm[$9]=$10} \ -nfile==1 && $1~"S" {swarm[$9]=$9} \ -nfile==2 {derep[$2]=$1} \ -nfile==3 && $1~"H" {split($9,out1,"_"); split(swarm[derep[$10]],out2,";"); print out1[1],out2[1]} \ -nfile==3 && $1~"S" {split($9,out1,"_"); split(swarm[derep[$9]],out2,";"); print out1[1],out2[1]}' \ -RS='\\n' FS='\\s' /raid1/home/micro/mcmindsr/labhome/ryan/20170228_swarm_plus_MED/swarm/swarms.uc \ -RS='>' FS='\\s' /raid1/home/micro/mcmindsr/labhome/ryan/20170228_swarm_plus_MED/seqs_derep.fasta \ -RS='\\n' FS='\\s' /raid1/home/micro/mcmindsr/labhome/ryan/20170228_swarm_plus_MED/seqs_derep.uc \ -| sort | uniq -c > /raid1/home/micro/mcmindsr/labhome/ryan/20170228_swarm_plus_MED/swarms_summed_long.txt - - - - diff --git a/microbiomes/qc_16S/4_MED.sh b/microbiomes/qc_16S/4_MED.sh deleted file mode 100644 index 05daf6f..0000000 --- a/microbiomes/qc_16S/4_MED.sh +++ /dev/null @@ -1,53 +0,0 @@ -source ~/.bashrc -export PATH=/raid1/home/micro/mcmindsr/labhome/local/bin/anaconda2/bin:$PATH - - -outdir=/raid1/home/micro/mcmindsr/ryan/20170228_swarm_plus_MED/ -medout=${outdir}/MED_swarms30 - - -## for each swarm... -for file in ${outdir}/swarms_fastas/*.fasta; do - - fname=$(basename ${file}) - seqname=${fname/.*/} - mkdir -p ${medout}/${seqname} - - vsearch --rereplicate ${file} --sizein --xsize --fasta_width 0 --output ${medout}/${seqname}/${seqname}_rereplicated.fasta - - ## sequences must all have the same length - o-pad-with-gaps ${medout}/${seqname}/${seqname}_rereplicated.fasta -o ${medout}/${seqname}/${seqname}_rereplicated_padded.fasta - - ## apply MED. Allow lots of variation in each node so no reads will be discarded - decompose -T -S -V 100 -R --skip-check-input-file ${medout}/${seqname}/${seqname}_rereplicated_padded.fasta -o ${medout}/${seqname}/MED - - seqlist="${seqname}" - - ## for each MED node... - for node in ${medout}/${seqname}/MED/NODES/*.unique; do - - ## print one line that starts with the name of the node (renamed to match the name of the node's most abundant sequence) and is followed by each dereplicated sequence name that's in the node (append this within the loop, so that this single file will wind up with every MED node from every Swarm) - awk 'NR==2 {line=$1} NR>2 {line=line" "$1} END {print line}' RS='>' FS='|' ${node} >> ${outdir}/derep_to_MEDs.txt - - ## append the name of the MED node to a variable that contains all the other MED names within the Swarm - medname=$(awk 'NR==2 {print $1; exit}' RS='>' FS='|' ${node}) - - if [[ ! ${seqlist} =~ ${medname} ]] - then - seqlist="${seqlist} ${medname}" - fi - - done - - ## print one line that starts with the name of the swarm and is followed by each MED node that is in that swarm - echo ${seqlist} >> ${outdir}/MEDs_to_swarms.txt - - - ## clean up - rm ${medout}/${seqname}/${seqname}_rereplicated.fasta ${medout}/${seqname}/${seqname}_rereplicated_padded.fasta ${medout}/${seqname}/MED/NODES/*.fa ${medout}/${seqname}/MED/MATRIX-COUNT.txt ${medout}/${seqname}/MED/MATRIX-PERCENT.txt ${medout}/${seqname}/MED/READ-DISTRIBUTION.txt - rm -r ${medout}/${seqname}/MED/FIGURES ${medout}/${seqname}/MED/HTML-OUTPUT ${medout}/${seqname}/MED/OUTLIERS - -done - - - diff --git a/microbiomes/zip_glm/zip_glm b/microbiomes/zip_glm/zip_glm new file mode 100755 index 0000000000000000000000000000000000000000..3ecfa5de4416b1c49e7baa4e7c231caa481396dc GIT binary patch literal 2026976 zcmeFa3wRVo);~NU2@DE!K+vqBL^rwt0TUHX1T=vR^uR>oaxtr7fIx(mOC&Rbi$HWT z3;ni@?8RO7TUpt4S@E{Auc86DBwUgpD+YBH#T8W48plfn4MC86zjLa)rzZ(WQ2*cm z`JUu?GTn8m>YP*OoH})?s=NA?Z$3NG$>oZRcez|0@P97;*SKA-P}#+}bGd$ke-;0Q zh50!nJ-2v%K8B#Ne{r$NR#Sv$J_r;Rj`I|Zi!H+SvwOt?&2%E5^ba2SudvWRZNA@3 z;L;pl$zU`F@T*?#!G$QD5G_uLGH0@|u+$%zQfh;m(VW?(Q2{o`ci@P`w|J#2Pw5!>wZvEIpF3mr9VWavzQTukviwE|P5MYX z|C;k!SQwZ+Z^rDYg)?Rs&q2ZF_?}Ac#rX1nCb3YuISwa&vb#(eL}6iW&bXYy;bU$b zE3FUq#dcR_mbUEAOjCcb{*!QDSa`>rsMJo5Z%vmdKB{m1k-DF?61Wx?&YDAwoZ&Al z4$LlU!QUF6Ja$}QW3 zAm`YAt%C{ITjF)>Cc?!`ap5H^4BN3 zmS5e`bv9u6jK}5rD{P(qZ-8tLbVECw1kEzmWzy5hu44`vT5wczrQn~s%@u*txmV1b zG3AP>_spD%H2qzGf8wKCcG9*h^R6H9NN(=9#)2o(uLLXw|B@uQia(q0S(csur$ayF zQNOkR($Idwv;101UNVR1l3Xay$zJx{lF9z*#EpN-l!0Jq#uTnVkTjZw6dB@XBikre8roRu?Gk90K)VFmCD1N`b_ujgpj`s(5@?q|y9C-L&@O>?3A9U~T>|YA zXqP~{1llFgE`fFlv`e5}0__rLmq5D&+9l8~fp!VBOQ2l>?Gk90K)VEf2nmc=wGStT zi}5;AvC=2k<)XBz&vQ=Te9(%lla>!JzT1` zP1S0A+DEzCH$Lr4u?VlhsM_9Jb8gGIJ*RNuHm_E#YWu~VDC*OWh;9Gw;Zn{n9;oyw zXWo@QlAe*cZh0@)#BFBUq^D}f)S8j}`WUYK@)WN0Vw6kO6Gyvyxzu1~lB#v`8F!>0 zCxvrrMxre!Q8SWWqoOOle&nhdnT8Y zi}#-;vrCXo;?KoZIU5QS|A162-Qbooe}}76{^Ox>HTY>7^i4t|&O3l}(UsNiS?e`! 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b/microbiomes/zip_glm/zip_glm.hpp @@ -0,0 +1,1351 @@ + +// Code generated by stanc v2.27.0 +#include +namespace zip_glm_model_namespace { + +using stan::io::dump; +using stan::model::assign; +using stan::model::index_uni; +using stan::model::index_max; +using stan::model::index_min; +using stan::model::index_min_max; +using stan::model::index_multi; +using stan::model::index_omni; +using stan::model::model_base_crtp; +using stan::model::rvalue; +using namespace stan::math; + + +stan::math::profile_map profiles__; +static constexpr std::array locations_array__ = +{" (found before start of program)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 30, column 4 to column 42)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 31, column 4 to column 41)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 32, column 4 to column 50)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 33, column 4 to column 53)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 34, column 4 to column 33)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 35, column 4 to column 34)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 36, column 4 to column 36)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 39, column 4 to column 181)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 40, column 4 to column 139)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 41, column 4 to column 111)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 42, column 4 to column 51)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 43, column 4 to column 125)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 44, column 4 to column 103)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 48, column 4 to column 55)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 49, column 4 to column 54)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 50, column 4 to column 81)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 51, column 4 to column 79)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 52, column 4 to column 67)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 53, column 4 to column 66)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 56, column 8 to column 31)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 58, column 12 to column 35)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 59, column 12 to column 83)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 57, column 23 to line 60, column 9)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 57, column 8 to line 60, column 9)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 55, column 19 to line 61, column 5)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 55, column 4 to line 61, column 5)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 11, column 4 to column 11)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 12, column 4 to column 13)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 13, column 4 to column 12)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 14, column 10 to column 14)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 14, column 4 to column 26)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 15, column 11 to column 15)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 15, column 16 to column 20)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 15, column 4 to column 35)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 16, column 4 to column 11)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 17, column 4 to column 13)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 18, column 4 to column 12)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 19, column 10 to column 14)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 19, column 4 to column 26)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 20, column 11 to column 15)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 20, column 16 to column 20)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 20, column 4 to column 35)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 21, column 10 to column 12)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 21, column 13 to column 15)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 21, column 4 to column 27)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 22, column 4 to column 23)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 23, column 4 to column 23)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 26, column 10 to column 16)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 26, column 4 to column 29)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 27, column 21 to column 48)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 27, column 4 to column 48)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 32, column 20 to column 29)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 33, column 20 to column 33)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 34, column 11 to column 15)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 34, column 16 to column 20)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 35, column 11 to column 15)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 35, column 16 to column 22)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 36, column 11 to column 13)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 39, column 20 to column 23)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 39, column 24 to column 27)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 40, column 20 to column 23)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 40, column 24 to column 29)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 41, column 11 to column 15)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 41, column 16 to column 20)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 42, column 11 to column 15)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 42, column 16 to column 22)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 6, column 12 to column 79)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 5, column 15 to line 7, column 9)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 4, column 12 to column 63)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 3, column 18 to line 5, column 9)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 3, column 8 to line 7, column 9)", + " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 2, column 41 to line 8, column 5)"}; + + +template +stan::promote_args_t +zip_lpmf(const int& c, const T1__& p, const T2__& a, std::ostream* pstream__) { + using local_scalar_t__ = stan::promote_args_t; + int current_statement__ = 0; + local_scalar_t__ DUMMY_VAR__(std::numeric_limits::quiet_NaN()); + (void) DUMMY_VAR__; // suppress unused var warning + try { + current_statement__ = 71; + if (logical_gt(c, 0)) { + current_statement__ = 69; + return (log_inv_logit(p) + poisson_log_lpmf(c, a)); + } else { + current_statement__ = 67; + return log_sum_exp(log1m_inv_logit(p), + (log_inv_logit(p) - stan::math::exp(a))); + } + } catch (const std::exception& e) { + stan::lang::rethrow_located(e, locations_array__[current_statement__]); + // Next line prevents compiler griping about no return + throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***"); + } + +} + +struct zip_lpmf_functor__ { +template +stan::promote_args_t +operator()(const int& c, const T1__& p, const T2__& a, + std::ostream* pstream__) const +{ +return zip_lpmf(c, p, a, pstream__); +} +}; + +class zip_glm_model final : public model_base_crtp { + + private: + int NS; + int NB_s; + int NSB; + std::vector idx_s; + Eigen::Matrix X_s_full_inv__; + int NF; + int NB_f; + int NFB; + std::vector idx_f; + Eigen::Matrix X_f_full_inv__; + std::vector> count; + double prior_scale_p; + double prior_scale_a; + std::vector idx_f2; + int sd_prevalence_norm_1dim__; + int sd_abundance_norm_1dim__; + int abundance_2dim__; + int sd_abundance_2dim__; + int beta_abundance_2dim__; + Eigen::Map> X_s_full_inv{nullptr, 0, 0}; + Eigen::Map> X_f_full_inv{nullptr, 0, 0}; + + public: + ~zip_glm_model() { } + + inline std::string model_name() const final { return "zip_glm_model"; } + + inline std::vector model_compile_info() const noexcept { + return std::vector{"stanc_version = stanc3 v2.27.0", "stancflags = "}; + } + + + zip_glm_model(stan::io::var_context& context__, + unsigned int random_seed__ = 0, + std::ostream* pstream__ = nullptr) : model_base_crtp(0) { + int current_statement__ = 0; + using local_scalar_t__ = double ; + boost::ecuyer1988 base_rng__ = + stan::services::util::create_rng(random_seed__, 0); + (void) base_rng__; // suppress unused var warning + static constexpr const char* function__ = "zip_glm_model_namespace::zip_glm_model"; + (void) function__; // suppress unused var warning + local_scalar_t__ DUMMY_VAR__(std::numeric_limits::quiet_NaN()); + (void) DUMMY_VAR__; // suppress unused var warning + try { + int pos__; + pos__ = std::numeric_limits::min(); + + pos__ = 1; + current_statement__ = 27; + context__.validate_dims("data initialization","NS","int", + std::vector{}); + NS = std::numeric_limits::min(); + + current_statement__ = 27; + NS = context__.vals_i("NS")[(1 - 1)]; + current_statement__ = 28; + context__.validate_dims("data initialization","NB_s","int", + std::vector{}); + NB_s = std::numeric_limits::min(); + + current_statement__ = 28; + NB_s = context__.vals_i("NB_s")[(1 - 1)]; + current_statement__ = 29; + context__.validate_dims("data initialization","NSB","int", + std::vector{}); + NSB = std::numeric_limits::min(); + + current_statement__ = 29; + NSB = context__.vals_i("NSB")[(1 - 1)]; + current_statement__ = 30; + validate_non_negative_index("idx_s", "NB_s", NB_s); + current_statement__ = 31; + context__.validate_dims("data initialization","idx_s","int", + std::vector{static_cast(NB_s)}); + idx_s = std::vector(NB_s, std::numeric_limits::min()); + + current_statement__ = 31; + idx_s = context__.vals_i("idx_s"); + current_statement__ = 32; + validate_non_negative_index("X_s_full_inv", "NB_s", NB_s); + current_statement__ = 33; + validate_non_negative_index("X_s_full_inv", "NB_s", NB_s); + current_statement__ = 34; + context__.validate_dims("data initialization","X_s_full_inv","double", + std::vector{static_cast(NB_s), + static_cast(NB_s)}); + X_s_full_inv__ = Eigen::Matrix(NB_s, NB_s); + new (&X_s_full_inv) Eigen::Map>(X_s_full_inv__.data(), NB_s, NB_s); + + + { + std::vector X_s_full_inv_flat__; + current_statement__ = 34; + X_s_full_inv_flat__ = context__.vals_r("X_s_full_inv"); + current_statement__ = 34; + pos__ = 1; + current_statement__ = 34; + for (int sym1__ = 1; sym1__ <= NB_s; ++sym1__) { + current_statement__ = 34; + for (int sym2__ = 1; sym2__ <= NB_s; ++sym2__) { + current_statement__ = 34; + assign(X_s_full_inv, X_s_full_inv_flat__[(pos__ - 1)], + "assigning variable X_s_full_inv", index_uni(sym2__), + index_uni(sym1__)); + current_statement__ = 34; + pos__ = (pos__ + 1); + } + } + } + current_statement__ = 35; + context__.validate_dims("data initialization","NF","int", + std::vector{}); + NF = std::numeric_limits::min(); + + current_statement__ = 35; + NF = context__.vals_i("NF")[(1 - 1)]; + current_statement__ = 36; + context__.validate_dims("data initialization","NB_f","int", + std::vector{}); + NB_f = std::numeric_limits::min(); + + current_statement__ = 36; + NB_f = context__.vals_i("NB_f")[(1 - 1)]; + current_statement__ = 37; + context__.validate_dims("data initialization","NFB","int", + std::vector{}); + NFB = std::numeric_limits::min(); + + current_statement__ = 37; + NFB = context__.vals_i("NFB")[(1 - 1)]; + current_statement__ = 38; + validate_non_negative_index("idx_f", "NB_f", NB_f); + current_statement__ = 39; + context__.validate_dims("data initialization","idx_f","int", + std::vector{static_cast(NB_f)}); + idx_f = std::vector(NB_f, std::numeric_limits::min()); + + current_statement__ = 39; + idx_f = context__.vals_i("idx_f"); + current_statement__ = 40; + validate_non_negative_index("X_f_full_inv", "NB_f", NB_f); + current_statement__ = 41; + validate_non_negative_index("X_f_full_inv", "NB_f", NB_f); + current_statement__ = 42; + context__.validate_dims("data initialization","X_f_full_inv","double", + std::vector{static_cast(NB_f), + static_cast(NB_f)}); + X_f_full_inv__ = Eigen::Matrix(NB_f, NB_f); + new (&X_f_full_inv) Eigen::Map>(X_f_full_inv__.data(), NB_f, NB_f); + + + { + std::vector X_f_full_inv_flat__; + current_statement__ = 42; + X_f_full_inv_flat__ = context__.vals_r("X_f_full_inv"); + current_statement__ = 42; + pos__ = 1; + current_statement__ = 42; + for (int sym1__ = 1; sym1__ <= NB_f; ++sym1__) { + current_statement__ = 42; + for (int sym2__ = 1; sym2__ <= NB_f; ++sym2__) { + current_statement__ = 42; + assign(X_f_full_inv, X_f_full_inv_flat__[(pos__ - 1)], + "assigning variable X_f_full_inv", index_uni(sym2__), + index_uni(sym1__)); + current_statement__ = 42; + pos__ = (pos__ + 1); + } + } + } + current_statement__ = 43; + validate_non_negative_index("count", "NF", NF); + current_statement__ = 44; + validate_non_negative_index("count", "NS", NS); + current_statement__ = 45; + context__.validate_dims("data initialization","count","int", + std::vector{static_cast(NF), + static_cast(NS)}); + count = std::vector>(NF, std::vector(NS, std::numeric_limits::min())); + + + { + std::vector count_flat__; + current_statement__ = 45; + count_flat__ = context__.vals_i("count"); + current_statement__ = 45; + pos__ = 1; + current_statement__ = 45; + for (int sym1__ = 1; sym1__ <= NS; ++sym1__) { + current_statement__ = 45; + for (int sym2__ = 1; sym2__ <= NF; ++sym2__) { + current_statement__ = 45; + assign(count, count_flat__[(pos__ - 1)], + "assigning variable count", index_uni(sym2__), + index_uni(sym1__)); + current_statement__ = 45; + pos__ = (pos__ + 1); + } + } + } + current_statement__ = 46; + context__.validate_dims("data initialization","prior_scale_p","double", + std::vector{}); + prior_scale_p = std::numeric_limits::quiet_NaN(); + + current_statement__ = 46; + prior_scale_p = context__.vals_r("prior_scale_p")[(1 - 1)]; + current_statement__ = 47; + context__.validate_dims("data initialization","prior_scale_a","double", + std::vector{}); + prior_scale_a = std::numeric_limits::quiet_NaN(); + + current_statement__ = 47; + prior_scale_a = context__.vals_r("prior_scale_a")[(1 - 1)]; + current_statement__ = 48; + validate_non_negative_index("idx_f2", "NB_f - 1", (NB_f - 1)); + current_statement__ = 49; + idx_f2 = std::vector((NB_f - 1), std::numeric_limits::min()); + + current_statement__ = 51; + for (int f = 2; f <= NB_f; ++f) { + current_statement__ = 50; + assign(idx_f2, (rvalue(idx_f, "idx_f", index_uni(f)) - 1), + "assigning variable idx_f2", index_uni((f - 1))); + } + current_statement__ = 52; + sd_prevalence_norm_1dim__ = std::numeric_limits::min(); + + current_statement__ = 52; + sd_prevalence_norm_1dim__ = ((NSB * NFB) - 2); + current_statement__ = 52; + validate_non_negative_index("sd_prevalence_norm", "NSB * NFB - 2", + sd_prevalence_norm_1dim__); + current_statement__ = 53; + sd_abundance_norm_1dim__ = std::numeric_limits::min(); + + current_statement__ = 53; + sd_abundance_norm_1dim__ = ((NSB * (NFB - 1)) - 1); + current_statement__ = 53; + validate_non_negative_index("sd_abundance_norm", "NSB * (NFB - 1) - 1", + sd_abundance_norm_1dim__); + current_statement__ = 54; + validate_non_negative_index("prevalence", "NB_s", NB_s); + current_statement__ = 55; + validate_non_negative_index("prevalence", "NB_f", NB_f); + current_statement__ = 56; + validate_non_negative_index("abundance", "NB_s", NB_s); + current_statement__ = 57; + abundance_2dim__ = std::numeric_limits::min(); + + current_statement__ = 57; + abundance_2dim__ = (NB_f - 1); + current_statement__ = 57; + validate_non_negative_index("abundance", "NB_f - 1", abundance_2dim__); + current_statement__ = 58; + validate_non_negative_index("multinomial_nuisance", "NS", NS); + current_statement__ = 59; + validate_non_negative_index("sd_prevalence", "NSB", NSB); + current_statement__ = 60; + validate_non_negative_index("sd_prevalence", "NFB", NFB); + current_statement__ = 61; + validate_non_negative_index("sd_abundance", "NSB", NSB); + current_statement__ = 62; + sd_abundance_2dim__ = std::numeric_limits::min(); + + current_statement__ = 62; + sd_abundance_2dim__ = (NFB - 1); + current_statement__ = 62; + validate_non_negative_index("sd_abundance", "NFB - 1", + sd_abundance_2dim__); + current_statement__ = 63; + validate_non_negative_index("beta_prevalence", "NB_s", NB_s); + current_statement__ = 64; + validate_non_negative_index("beta_prevalence", "NB_f", NB_f); + current_statement__ = 65; + validate_non_negative_index("beta_abundance", "NB_s", NB_s); + current_statement__ = 66; + beta_abundance_2dim__ = std::numeric_limits::min(); + + current_statement__ = 66; + beta_abundance_2dim__ = (NB_f - 1); + current_statement__ = 66; + validate_non_negative_index("beta_abundance", "NB_f - 1", + beta_abundance_2dim__); + } catch (const std::exception& e) { + stan::lang::rethrow_located(e, locations_array__[current_statement__]); + // Next line prevents compiler griping about no return + throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***"); + } + num_params_r__ = 1 + 1 + sd_prevalence_norm_1dim__ + + sd_abundance_norm_1dim__ + (NB_s * NB_f) + (NB_s * abundance_2dim__) + + NS; + + } + + template * = nullptr, + stan::require_vector_like_vt* = nullptr> + inline stan::scalar_type_t log_prob_impl(VecR& params_r__, + VecI& params_i__, + std::ostream* pstream__ = nullptr) const { + using T__ = stan::scalar_type_t; + using local_scalar_t__ = T__; + T__ lp__(0.0); + stan::math::accumulator lp_accum__; + stan::io::deserializer in__(params_r__, params_i__); + int current_statement__ = 0; + local_scalar_t__ DUMMY_VAR__(std::numeric_limits::quiet_NaN()); + (void) DUMMY_VAR__; // suppress unused var warning + static constexpr const char* function__ = "zip_glm_model_namespace::log_prob"; + (void) function__; // suppress unused var warning + + try { + local_scalar_t__ global_scale_prevalence; + global_scale_prevalence = DUMMY_VAR__; + + current_statement__ = 1; + global_scale_prevalence = in__.template read_constrain_lb( + 0, lp__); + local_scalar_t__ global_scale_abundance; + global_scale_abundance = DUMMY_VAR__; + + current_statement__ = 2; + global_scale_abundance = in__.template read_constrain_lb( + 0, lp__); + Eigen::Matrix sd_prevalence_norm; + sd_prevalence_norm = Eigen::Matrix(sd_prevalence_norm_1dim__); + stan::math::fill(sd_prevalence_norm, DUMMY_VAR__); + + current_statement__ = 3; + sd_prevalence_norm = in__.template read_constrain_lb, jacobian__>( + 0, lp__, sd_prevalence_norm_1dim__); + Eigen::Matrix sd_abundance_norm; + sd_abundance_norm = Eigen::Matrix(sd_abundance_norm_1dim__); + stan::math::fill(sd_abundance_norm, DUMMY_VAR__); + + current_statement__ = 4; + sd_abundance_norm = in__.template read_constrain_lb, jacobian__>( + 0, lp__, sd_abundance_norm_1dim__); + Eigen::Matrix prevalence; + prevalence = Eigen::Matrix(NB_s, NB_f); + stan::math::fill(prevalence, DUMMY_VAR__); + + current_statement__ = 5; + prevalence = in__.template read>( + NB_s, NB_f); + Eigen::Matrix abundance; + abundance = Eigen::Matrix(NB_s, abundance_2dim__); + stan::math::fill(abundance, DUMMY_VAR__); + + current_statement__ = 6; + abundance = in__.template read>( + NB_s, abundance_2dim__); + Eigen::Matrix multinomial_nuisance; + multinomial_nuisance = Eigen::Matrix(NS); + stan::math::fill(multinomial_nuisance, DUMMY_VAR__); + + current_statement__ = 7; + multinomial_nuisance = in__.template read>( + NS); + Eigen::Matrix sd_prevalence; + sd_prevalence = Eigen::Matrix(NSB, NFB); + stan::math::fill(sd_prevalence, DUMMY_VAR__); + + current_statement__ = 8; + assign(sd_prevalence, + multiply( + to_matrix( + append_row((100 * global_scale_prevalence), + append_row(sd_prevalence_norm, global_scale_prevalence)), NSB, + NFB), prior_scale_p), "assigning variable sd_prevalence"); + Eigen::Matrix sd_abundance; + sd_abundance = Eigen::Matrix(NSB, sd_abundance_2dim__); + stan::math::fill(sd_abundance, DUMMY_VAR__); + + current_statement__ = 9; + assign(sd_abundance, + multiply( + to_matrix(append_row(sd_abundance_norm, global_scale_abundance), + NSB, (NFB - 1)), prior_scale_a), + "assigning variable sd_abundance"); + Eigen::Matrix beta_prevalence; + beta_prevalence = Eigen::Matrix(NB_s, NB_f); + stan::math::fill(beta_prevalence, DUMMY_VAR__); + + current_statement__ = 10; + assign(beta_prevalence, + elt_divide( + multiply(multiply(X_s_full_inv, prevalence), X_f_full_inv), + rvalue(sd_prevalence, "sd_prevalence", + index_multi(idx_s), index_multi(idx_f))), + "assigning variable beta_prevalence"); + Eigen::Matrix beta_abundance; + beta_abundance = Eigen::Matrix(NB_s, beta_abundance_2dim__); + stan::math::fill(beta_abundance, DUMMY_VAR__); + + current_statement__ = 11; + assign(beta_abundance, abundance, "assigning variable beta_abundance"); + current_statement__ = 12; + assign(beta_abundance, + subtract( + stan::model::deep_copy( + rvalue(beta_abundance, "beta_abundance", + index_min(((NB_s - NS) + 1)), index_min((NB_f - NF)))), + rep_matrix(multinomial_nuisance, NF)), + "assigning variable beta_abundance", index_min(((NB_s - NS) + 1)), + index_min((NB_f - NF))); + current_statement__ = 13; + assign(beta_abundance, + elt_divide( + multiply( + multiply(X_s_full_inv, stan::model::deep_copy(beta_abundance)), + rvalue(X_f_full_inv, "X_f_full_inv", index_min(2), index_min(2))), + rvalue(sd_abundance, "sd_abundance", + index_multi(idx_s), index_multi(idx_f2))), + "assigning variable beta_abundance"); + current_statement__ = 8; + for (int sym1__ = 1; sym1__ <= NSB; ++sym1__) { + current_statement__ = 8; + for (int sym2__ = 1; sym2__ <= NFB; ++sym2__) { + current_statement__ = 8; + check_greater_or_equal(function__, "sd_prevalence[sym1__, sym2__]", + rvalue(sd_prevalence, "sd_prevalence", + index_uni(sym1__), index_uni(sym2__)), 0); + } + } + current_statement__ = 9; + for (int sym1__ = 1; sym1__ <= NSB; ++sym1__) { + current_statement__ = 9; + for (int sym2__ = 1; sym2__ <= sd_abundance_2dim__; ++sym2__) { + current_statement__ = 9; + check_greater_or_equal(function__, "sd_abundance[sym1__, sym2__]", + rvalue(sd_abundance, "sd_abundance", + index_uni(sym1__), index_uni(sym2__)), 0); + } + } + { + current_statement__ = 14; + lp_accum__.add(std_normal_lpdf(global_scale_prevalence)); + current_statement__ = 15; + lp_accum__.add(std_normal_lpdf(global_scale_abundance)); + current_statement__ = 16; + lp_accum__.add( + student_t_lpdf(sd_prevalence_norm, 5, 0, + global_scale_prevalence)); + current_statement__ = 17; + lp_accum__.add( + student_t_lpdf(sd_abundance_norm, 5, 0, + global_scale_abundance)); + current_statement__ = 18; + lp_accum__.add( + student_t_lpdf(to_vector(beta_prevalence), 5, 0, 1)); + current_statement__ = 19; + lp_accum__.add( + student_t_lpdf(to_vector(beta_abundance), 5, 0, 1)); + current_statement__ = 26; + for (int f = 1; f <= NF; ++f) { + int f2; + f2 = std::numeric_limits::min(); + + current_statement__ = 20; + f2 = ((NB_f - NF) + f); + current_statement__ = 24; + for (int s = 1; s <= NS; ++s) { + int s2; + s2 = std::numeric_limits::min(); + + current_statement__ = 21; + s2 = ((NB_s - NS) + s); + current_statement__ = 22; + lp_accum__.add( + zip_lpmf( + rvalue(count, "count", index_uni(f), index_uni(s)), + rvalue(prevalence, "prevalence", + index_uni(s2), index_uni(f2)), + rvalue(abundance, "abundance", + index_uni(s2), index_uni((f2 - 1))), pstream__)); + } + } + } + } catch (const std::exception& e) { + stan::lang::rethrow_located(e, locations_array__[current_statement__]); + // Next line prevents compiler griping about no return + throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***"); + } + lp_accum__.add(lp__); + return lp_accum__.sum(); + } // log_prob_impl() + + template * = nullptr, + stan::require_vector_like_vt* = nullptr, + stan::require_std_vector_vt* = nullptr> + inline void write_array_impl(RNG& base_rng__, VecR& params_r__, + VecI& params_i__, VecVar& vars__, + const bool emit_transformed_parameters__ = true, + const bool emit_generated_quantities__ = true, + std::ostream* pstream__ = nullptr) const { + using local_scalar_t__ = double; + vars__.resize(0); + stan::io::deserializer in__(params_r__, params_i__); + static constexpr bool propto__ = true; + (void) propto__; + double lp__ = 0.0; + (void) lp__; // dummy to suppress unused var warning + int current_statement__ = 0; + stan::math::accumulator lp_accum__; + local_scalar_t__ DUMMY_VAR__(std::numeric_limits::quiet_NaN()); + constexpr bool jacobian__ = false; + (void) DUMMY_VAR__; // suppress unused var warning + static constexpr const char* function__ = "zip_glm_model_namespace::write_array"; + (void) function__; // suppress unused var warning + + try { + double global_scale_prevalence; + global_scale_prevalence = std::numeric_limits::quiet_NaN(); + + current_statement__ = 1; + global_scale_prevalence = in__.template read_constrain_lb( + 0, lp__); + double global_scale_abundance; + global_scale_abundance = std::numeric_limits::quiet_NaN(); + + current_statement__ = 2; + global_scale_abundance = in__.template read_constrain_lb( + 0, lp__); + Eigen::Matrix sd_prevalence_norm; + sd_prevalence_norm = Eigen::Matrix(sd_prevalence_norm_1dim__); + stan::math::fill(sd_prevalence_norm, std::numeric_limits::quiet_NaN()); + + + current_statement__ = 3; + sd_prevalence_norm = in__.template read_constrain_lb, jacobian__>( + 0, lp__, sd_prevalence_norm_1dim__); + Eigen::Matrix sd_abundance_norm; + sd_abundance_norm = Eigen::Matrix(sd_abundance_norm_1dim__); + stan::math::fill(sd_abundance_norm, std::numeric_limits::quiet_NaN()); + + + current_statement__ = 4; + sd_abundance_norm = in__.template read_constrain_lb, jacobian__>( + 0, lp__, sd_abundance_norm_1dim__); + Eigen::Matrix prevalence; + prevalence = Eigen::Matrix(NB_s, NB_f); + stan::math::fill(prevalence, std::numeric_limits::quiet_NaN()); + + current_statement__ = 5; + prevalence = in__.template read>( + NB_s, NB_f); + Eigen::Matrix abundance; + abundance = Eigen::Matrix(NB_s, abundance_2dim__); + stan::math::fill(abundance, std::numeric_limits::quiet_NaN()); + + current_statement__ = 6; + abundance = in__.template read>( + NB_s, abundance_2dim__); + Eigen::Matrix multinomial_nuisance; + multinomial_nuisance = Eigen::Matrix(NS); + stan::math::fill(multinomial_nuisance, std::numeric_limits::quiet_NaN()); + + + current_statement__ = 7; + multinomial_nuisance = in__.template read>( + NS); + Eigen::Matrix sd_prevalence; + sd_prevalence = Eigen::Matrix(NSB, NFB); + stan::math::fill(sd_prevalence, std::numeric_limits::quiet_NaN()); + + + Eigen::Matrix sd_abundance; + sd_abundance = Eigen::Matrix(NSB, sd_abundance_2dim__); + stan::math::fill(sd_abundance, std::numeric_limits::quiet_NaN()); + + + Eigen::Matrix beta_prevalence; + beta_prevalence = Eigen::Matrix(NB_s, NB_f); + stan::math::fill(beta_prevalence, std::numeric_limits::quiet_NaN()); + + + Eigen::Matrix beta_abundance; + beta_abundance = Eigen::Matrix(NB_s, beta_abundance_2dim__); + stan::math::fill(beta_abundance, std::numeric_limits::quiet_NaN()); + + + vars__.emplace_back(global_scale_prevalence); + vars__.emplace_back(global_scale_abundance); + for (int sym1__ = 1; sym1__ <= sd_prevalence_norm_1dim__; ++sym1__) { + vars__.emplace_back(sd_prevalence_norm[(sym1__ - 1)]); + } + for (int sym1__ = 1; sym1__ <= sd_abundance_norm_1dim__; ++sym1__) { + vars__.emplace_back(sd_abundance_norm[(sym1__ - 1)]); + } + for (int sym1__ = 1; sym1__ <= NB_f; ++sym1__) { + for (int sym2__ = 1; sym2__ <= NB_s; ++sym2__) { + vars__.emplace_back( + rvalue(prevalence, "prevalence", + index_uni(sym2__), index_uni(sym1__))); + } + } + for (int sym1__ = 1; sym1__ <= abundance_2dim__; ++sym1__) { + for (int sym2__ = 1; sym2__ <= NB_s; ++sym2__) { + vars__.emplace_back( + rvalue(abundance, "abundance", + index_uni(sym2__), index_uni(sym1__))); + } + } + for (int sym1__ = 1; sym1__ <= NS; ++sym1__) { + vars__.emplace_back(multinomial_nuisance[(sym1__ - 1)]); + } + if (logical_negation((primitive_value(emit_transformed_parameters__) || + primitive_value(emit_generated_quantities__)))) { + return ; + } + current_statement__ = 8; + assign(sd_prevalence, + multiply( + to_matrix( + append_row((100 * global_scale_prevalence), + append_row(sd_prevalence_norm, global_scale_prevalence)), NSB, + NFB), prior_scale_p), "assigning variable sd_prevalence"); + current_statement__ = 9; + assign(sd_abundance, + multiply( + to_matrix(append_row(sd_abundance_norm, global_scale_abundance), + NSB, (NFB - 1)), prior_scale_a), + "assigning variable sd_abundance"); + current_statement__ = 10; + assign(beta_prevalence, + elt_divide( + multiply(multiply(X_s_full_inv, prevalence), X_f_full_inv), + rvalue(sd_prevalence, "sd_prevalence", + index_multi(idx_s), index_multi(idx_f))), + "assigning variable beta_prevalence"); + current_statement__ = 11; + assign(beta_abundance, abundance, "assigning variable beta_abundance"); + current_statement__ = 12; + assign(beta_abundance, + subtract( + stan::model::deep_copy( + rvalue(beta_abundance, "beta_abundance", + index_min(((NB_s - NS) + 1)), index_min((NB_f - NF)))), + rep_matrix(multinomial_nuisance, NF)), + "assigning variable beta_abundance", index_min(((NB_s - NS) + 1)), + index_min((NB_f - NF))); + current_statement__ = 13; + assign(beta_abundance, + elt_divide( + multiply( + multiply(X_s_full_inv, stan::model::deep_copy(beta_abundance)), + rvalue(X_f_full_inv, "X_f_full_inv", index_min(2), index_min(2))), + rvalue(sd_abundance, "sd_abundance", + index_multi(idx_s), index_multi(idx_f2))), + "assigning variable beta_abundance"); + current_statement__ = 8; + for (int sym1__ = 1; sym1__ <= NSB; ++sym1__) { + current_statement__ = 8; + for (int sym2__ = 1; sym2__ <= NFB; ++sym2__) { + current_statement__ = 8; + check_greater_or_equal(function__, "sd_prevalence[sym1__, sym2__]", + rvalue(sd_prevalence, "sd_prevalence", + index_uni(sym1__), index_uni(sym2__)), 0); + } + } + current_statement__ = 9; + for (int sym1__ = 1; sym1__ <= NSB; ++sym1__) { + current_statement__ = 9; + for (int sym2__ = 1; sym2__ <= sd_abundance_2dim__; ++sym2__) { + current_statement__ = 9; + check_greater_or_equal(function__, "sd_abundance[sym1__, sym2__]", + rvalue(sd_abundance, "sd_abundance", + index_uni(sym1__), index_uni(sym2__)), 0); + } + } + if (emit_transformed_parameters__) { + for (int sym1__ = 1; sym1__ <= NFB; ++sym1__) { + for (int sym2__ = 1; sym2__ <= NSB; ++sym2__) { + vars__.emplace_back( + rvalue(sd_prevalence, "sd_prevalence", + index_uni(sym2__), index_uni(sym1__))); + } + } + for (int sym1__ = 1; sym1__ <= sd_abundance_2dim__; ++sym1__) { + for (int sym2__ = 1; sym2__ <= NSB; ++sym2__) { + vars__.emplace_back( + rvalue(sd_abundance, "sd_abundance", + index_uni(sym2__), index_uni(sym1__))); + } + } + for (int sym1__ = 1; sym1__ <= NB_f; ++sym1__) { + for (int sym2__ = 1; sym2__ <= NB_s; ++sym2__) { + vars__.emplace_back( + rvalue(beta_prevalence, "beta_prevalence", + index_uni(sym2__), index_uni(sym1__))); + } + } + for (int sym1__ = 1; sym1__ <= beta_abundance_2dim__; ++sym1__) { + for (int sym2__ = 1; sym2__ <= NB_s; ++sym2__) { + vars__.emplace_back( + rvalue(beta_abundance, "beta_abundance", + index_uni(sym2__), index_uni(sym1__))); + } + } + } + if (logical_negation(emit_generated_quantities__)) { + return ; + } + } catch (const std::exception& e) { + stan::lang::rethrow_located(e, locations_array__[current_statement__]); + // Next line prevents compiler griping about no return + throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***"); + } + } // write_array_impl() + + template * = nullptr, + stan::require_vector_like_vt* = nullptr> + inline void transform_inits_impl(const stan::io::var_context& context__, + VecI& params_i__, VecVar& vars__, + std::ostream* pstream__ = nullptr) const { + using local_scalar_t__ = double; + vars__.clear(); + vars__.reserve(num_params_r__); + int current_statement__ = 0; + + try { + int pos__; + pos__ = std::numeric_limits::min(); + + pos__ = 1; + double global_scale_prevalence; + global_scale_prevalence = std::numeric_limits::quiet_NaN(); + + current_statement__ = 1; + global_scale_prevalence = context__.vals_r("global_scale_prevalence")[ + (1 - 1)]; + double global_scale_prevalence_free__; + global_scale_prevalence_free__ = std::numeric_limits::quiet_NaN(); + + + current_statement__ = 1; + global_scale_prevalence_free__ = stan::math::lb_free( + global_scale_prevalence, 0); + double global_scale_abundance; + global_scale_abundance = std::numeric_limits::quiet_NaN(); + + current_statement__ = 2; + global_scale_abundance = context__.vals_r("global_scale_abundance")[ + (1 - 1)]; + double global_scale_abundance_free__; + global_scale_abundance_free__ = std::numeric_limits::quiet_NaN(); + + + current_statement__ = 2; + global_scale_abundance_free__ = stan::math::lb_free( + global_scale_abundance, 0); + Eigen::Matrix sd_prevalence_norm; + sd_prevalence_norm = Eigen::Matrix(sd_prevalence_norm_1dim__); + stan::math::fill(sd_prevalence_norm, std::numeric_limits::quiet_NaN()); + + + { + std::vector sd_prevalence_norm_flat__; + current_statement__ = 3; + sd_prevalence_norm_flat__ = context__.vals_r("sd_prevalence_norm"); + current_statement__ = 3; + pos__ = 1; + current_statement__ = 3; + for (int sym1__ = 1; sym1__ <= sd_prevalence_norm_1dim__; ++sym1__) { + current_statement__ = 3; + assign(sd_prevalence_norm, sd_prevalence_norm_flat__[(pos__ - 1)], + "assigning variable sd_prevalence_norm", index_uni(sym1__)); + current_statement__ = 3; + pos__ = (pos__ + 1); + } + } + Eigen::Matrix sd_prevalence_norm_free__; + sd_prevalence_norm_free__ = Eigen::Matrix(sd_prevalence_norm_1dim__); + stan::math::fill(sd_prevalence_norm_free__, std::numeric_limits::quiet_NaN()); + + + current_statement__ = 3; + for (int sym1__ = 1; sym1__ <= sd_prevalence_norm_1dim__; ++sym1__) { + current_statement__ = 3; + assign(sd_prevalence_norm_free__, + stan::math::lb_free(sd_prevalence_norm[(sym1__ - 1)], 0), + "assigning variable sd_prevalence_norm_free__", index_uni(sym1__)); + } + Eigen::Matrix sd_abundance_norm; + sd_abundance_norm = Eigen::Matrix(sd_abundance_norm_1dim__); + stan::math::fill(sd_abundance_norm, std::numeric_limits::quiet_NaN()); + + + { + std::vector sd_abundance_norm_flat__; + current_statement__ = 4; + sd_abundance_norm_flat__ = context__.vals_r("sd_abundance_norm"); + current_statement__ = 4; + pos__ = 1; + current_statement__ = 4; + for (int sym1__ = 1; sym1__ <= sd_abundance_norm_1dim__; ++sym1__) { + current_statement__ = 4; + assign(sd_abundance_norm, sd_abundance_norm_flat__[(pos__ - 1)], + "assigning variable sd_abundance_norm", index_uni(sym1__)); + current_statement__ = 4; + pos__ = (pos__ + 1); + } + } + Eigen::Matrix sd_abundance_norm_free__; + sd_abundance_norm_free__ = Eigen::Matrix(sd_abundance_norm_1dim__); + stan::math::fill(sd_abundance_norm_free__, std::numeric_limits::quiet_NaN()); + + + current_statement__ = 4; + for (int sym1__ = 1; sym1__ <= sd_abundance_norm_1dim__; ++sym1__) { + current_statement__ = 4; + assign(sd_abundance_norm_free__, + stan::math::lb_free(sd_abundance_norm[(sym1__ - 1)], 0), + "assigning variable sd_abundance_norm_free__", index_uni(sym1__)); + } + Eigen::Matrix prevalence; + prevalence = Eigen::Matrix(NB_s, NB_f); + stan::math::fill(prevalence, std::numeric_limits::quiet_NaN()); + + { + std::vector prevalence_flat__; + current_statement__ = 5; + prevalence_flat__ = context__.vals_r("prevalence"); + current_statement__ = 5; + pos__ = 1; + current_statement__ = 5; + for (int sym1__ = 1; sym1__ <= NB_f; ++sym1__) { + current_statement__ = 5; + for (int sym2__ = 1; sym2__ <= NB_s; ++sym2__) { + current_statement__ = 5; + assign(prevalence, prevalence_flat__[(pos__ - 1)], + "assigning variable prevalence", index_uni(sym2__), + index_uni(sym1__)); + current_statement__ = 5; + pos__ = (pos__ + 1); + } + } + } + Eigen::Matrix abundance; + abundance = Eigen::Matrix(NB_s, abundance_2dim__); + stan::math::fill(abundance, std::numeric_limits::quiet_NaN()); + + { + std::vector abundance_flat__; + current_statement__ = 6; + abundance_flat__ = context__.vals_r("abundance"); + current_statement__ = 6; + pos__ = 1; + current_statement__ = 6; + for (int sym1__ = 1; sym1__ <= abundance_2dim__; ++sym1__) { + current_statement__ = 6; + for (int sym2__ = 1; sym2__ <= NB_s; ++sym2__) { + current_statement__ = 6; + assign(abundance, abundance_flat__[(pos__ - 1)], + "assigning variable abundance", index_uni(sym2__), + index_uni(sym1__)); + current_statement__ = 6; + pos__ = (pos__ + 1); + } + } + } + Eigen::Matrix multinomial_nuisance; + multinomial_nuisance = Eigen::Matrix(NS); + stan::math::fill(multinomial_nuisance, std::numeric_limits::quiet_NaN()); + + + { + std::vector multinomial_nuisance_flat__; + current_statement__ = 7; + multinomial_nuisance_flat__ = context__.vals_r("multinomial_nuisance"); + current_statement__ = 7; + pos__ = 1; + current_statement__ = 7; + for (int sym1__ = 1; sym1__ <= NS; ++sym1__) { + current_statement__ = 7; + assign(multinomial_nuisance, + multinomial_nuisance_flat__[(pos__ - 1)], + "assigning variable multinomial_nuisance", index_uni(sym1__)); + current_statement__ = 7; + pos__ = (pos__ + 1); + } + } + vars__.emplace_back(global_scale_prevalence_free__); + vars__.emplace_back(global_scale_abundance_free__); + for (int sym1__ = 1; sym1__ <= sd_prevalence_norm_1dim__; ++sym1__) { + vars__.emplace_back(sd_prevalence_norm_free__[(sym1__ - 1)]); + } + for (int sym1__ = 1; sym1__ <= sd_abundance_norm_1dim__; ++sym1__) { + vars__.emplace_back(sd_abundance_norm_free__[(sym1__ - 1)]); + } + for (int sym1__ = 1; sym1__ <= NB_f; ++sym1__) { + for (int sym2__ = 1; sym2__ <= NB_s; ++sym2__) { + vars__.emplace_back( + rvalue(prevalence, "prevalence", + index_uni(sym2__), index_uni(sym1__))); + } + } + for (int sym1__ = 1; sym1__ <= abundance_2dim__; ++sym1__) { + for (int sym2__ = 1; sym2__ <= NB_s; ++sym2__) { + vars__.emplace_back( + rvalue(abundance, "abundance", + index_uni(sym2__), index_uni(sym1__))); + } + } + for (int sym1__ = 1; sym1__ <= NS; ++sym1__) { + vars__.emplace_back(multinomial_nuisance[(sym1__ - 1)]); + } + } catch (const std::exception& e) { + stan::lang::rethrow_located(e, locations_array__[current_statement__]); + // Next line prevents compiler griping about no return + throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***"); + } + } // transform_inits_impl() + + inline void get_param_names(std::vector& names__) const { + + names__ = std::vector{"global_scale_prevalence", + "global_scale_abundance", "sd_prevalence_norm", "sd_abundance_norm", + "prevalence", "abundance", "multinomial_nuisance", "sd_prevalence", + "sd_abundance", "beta_prevalence", "beta_abundance"}; + + } // get_param_names() + + inline void get_dims(std::vector>& dimss__) const { + + dimss__ = std::vector>{std::vector{}, + std::vector{}, + std::vector{static_cast(sd_prevalence_norm_1dim__)}, + std::vector{static_cast(sd_abundance_norm_1dim__)}, + std::vector{static_cast(NB_s), + static_cast(NB_f)}, + std::vector{static_cast(NB_s), + static_cast(abundance_2dim__)}, + std::vector{static_cast(NS)}, + std::vector{static_cast(NSB), static_cast(NFB)}, + std::vector{static_cast(NSB), + static_cast(sd_abundance_2dim__)}, + std::vector{static_cast(NB_s), + static_cast(NB_f)}, + std::vector{static_cast(NB_s), + static_cast(beta_abundance_2dim__)}}; + + } // get_dims() + + inline void constrained_param_names( + std::vector& param_names__, + bool emit_transformed_parameters__ = true, + bool emit_generated_quantities__ = true) const + final { + + param_names__.emplace_back(std::string() + "global_scale_prevalence"); + param_names__.emplace_back(std::string() + "global_scale_abundance"); + for (int sym1__ = 1; sym1__ <= sd_prevalence_norm_1dim__; ++sym1__) { + { + param_names__.emplace_back(std::string() + "sd_prevalence_norm" + '.' + std::to_string(sym1__)); + } + } + for (int sym1__ = 1; sym1__ <= sd_abundance_norm_1dim__; ++sym1__) { + { + param_names__.emplace_back(std::string() + "sd_abundance_norm" + '.' + std::to_string(sym1__)); + } + } + for (int sym1__ = 1; sym1__ <= NB_f; ++sym1__) { + { + for (int sym2__ = 1; sym2__ <= NB_s; ++sym2__) { + { + param_names__.emplace_back(std::string() + "prevalence" + '.' + std::to_string(sym2__) + '.' + std::to_string(sym1__)); + } + } + } + } + for (int sym1__ = 1; sym1__ <= abundance_2dim__; ++sym1__) { + { + for (int sym2__ = 1; sym2__ <= NB_s; ++sym2__) { + { + param_names__.emplace_back(std::string() + "abundance" + '.' + std::to_string(sym2__) + '.' + std::to_string(sym1__)); + } + } + } + } + for (int sym1__ = 1; sym1__ <= NS; ++sym1__) { + { + param_names__.emplace_back(std::string() + "multinomial_nuisance" + '.' + std::to_string(sym1__)); + } + } + if (emit_transformed_parameters__) { + for (int sym1__ = 1; sym1__ <= NFB; ++sym1__) { + { + for (int sym2__ = 1; sym2__ <= NSB; ++sym2__) { + { + param_names__.emplace_back(std::string() + "sd_prevalence" + '.' + std::to_string(sym2__) + '.' + std::to_string(sym1__)); + } + } + } + } + for (int sym1__ = 1; sym1__ <= sd_abundance_2dim__; ++sym1__) { + { + for (int sym2__ = 1; sym2__ <= NSB; ++sym2__) { + { + param_names__.emplace_back(std::string() + "sd_abundance" + '.' + std::to_string(sym2__) + '.' + std::to_string(sym1__)); + } + } + } + } + for (int sym1__ = 1; sym1__ <= NB_f; ++sym1__) { + { + for (int sym2__ = 1; sym2__ <= NB_s; ++sym2__) { + { + param_names__.emplace_back(std::string() + "beta_prevalence" + '.' + std::to_string(sym2__) + '.' + std::to_string(sym1__)); + } + } + } + } + for (int sym1__ = 1; sym1__ <= beta_abundance_2dim__; ++sym1__) { + { + for (int sym2__ = 1; sym2__ <= NB_s; ++sym2__) { + { + param_names__.emplace_back(std::string() + "beta_abundance" + '.' + std::to_string(sym2__) + '.' + std::to_string(sym1__)); + } + } + } + } + } + + if (emit_generated_quantities__) { + + } + + } // constrained_param_names() + + inline void unconstrained_param_names( + std::vector& param_names__, + bool emit_transformed_parameters__ = true, + bool emit_generated_quantities__ = true) const + final { + + param_names__.emplace_back(std::string() + "global_scale_prevalence"); + param_names__.emplace_back(std::string() + "global_scale_abundance"); + for (int sym1__ = 1; sym1__ <= sd_prevalence_norm_1dim__; ++sym1__) { + { + param_names__.emplace_back(std::string() + "sd_prevalence_norm" + '.' + std::to_string(sym1__)); + } + } + for (int sym1__ = 1; sym1__ <= sd_abundance_norm_1dim__; ++sym1__) { + { + param_names__.emplace_back(std::string() + "sd_abundance_norm" + '.' + std::to_string(sym1__)); + } + } + for (int sym1__ = 1; sym1__ <= NB_f; ++sym1__) { + { + for (int sym2__ = 1; sym2__ <= NB_s; ++sym2__) { + { + param_names__.emplace_back(std::string() + "prevalence" + '.' + std::to_string(sym2__) + '.' + std::to_string(sym1__)); + } + } + } + } + for (int sym1__ = 1; sym1__ <= abundance_2dim__; ++sym1__) { + { + for (int sym2__ = 1; sym2__ <= NB_s; ++sym2__) { + { + param_names__.emplace_back(std::string() + "abundance" + '.' + std::to_string(sym2__) + '.' + std::to_string(sym1__)); + } + } + } + } + for (int sym1__ = 1; sym1__ <= NS; ++sym1__) { + { + param_names__.emplace_back(std::string() + "multinomial_nuisance" + '.' + std::to_string(sym1__)); + } + } + if (emit_transformed_parameters__) { + for (int sym1__ = 1; sym1__ <= NFB; ++sym1__) { + { + for (int sym2__ = 1; sym2__ <= NSB; ++sym2__) { + { + param_names__.emplace_back(std::string() + "sd_prevalence" + '.' + std::to_string(sym2__) + '.' + std::to_string(sym1__)); + } + } + } + } + for (int sym1__ = 1; sym1__ <= sd_abundance_2dim__; ++sym1__) { + { + for (int sym2__ = 1; sym2__ <= NSB; ++sym2__) { + { + param_names__.emplace_back(std::string() + "sd_abundance" + '.' + std::to_string(sym2__) + '.' + std::to_string(sym1__)); + } + } + } + } + for (int sym1__ = 1; sym1__ <= NB_f; ++sym1__) { + { + for (int sym2__ = 1; sym2__ <= NB_s; ++sym2__) { + { + param_names__.emplace_back(std::string() + "beta_prevalence" + '.' + std::to_string(sym2__) + '.' + std::to_string(sym1__)); + } + } + } + } + for (int sym1__ = 1; sym1__ <= beta_abundance_2dim__; ++sym1__) { + { + for (int sym2__ = 1; sym2__ <= NB_s; ++sym2__) { + { + param_names__.emplace_back(std::string() + "beta_abundance" + '.' + std::to_string(sym2__) + '.' + std::to_string(sym1__)); + } + } + } + } + } + + if (emit_generated_quantities__) { + + } + + } // unconstrained_param_names() + + inline std::string get_constrained_sizedtypes() const { + + return std::string("[{\"name\":\"global_scale_prevalence\",\"type\":{\"name\":\"real\"},\"block\":\"parameters\"},{\"name\":\"global_scale_abundance\",\"type\":{\"name\":\"real\"},\"block\":\"parameters\"},{\"name\":\"sd_prevalence_norm\",\"type\":{\"name\":\"vector\",\"length\":" + std::to_string(sd_prevalence_norm_1dim__) + "},\"block\":\"parameters\"},{\"name\":\"sd_abundance_norm\",\"type\":{\"name\":\"vector\",\"length\":" + std::to_string(sd_abundance_norm_1dim__) + "},\"block\":\"parameters\"},{\"name\":\"prevalence\",\"type\":{\"name\":\"matrix\",\"rows\":" + std::to_string(NB_s) + ",\"cols\":" + std::to_string(NB_f) + "},\"block\":\"parameters\"},{\"name\":\"abundance\",\"type\":{\"name\":\"matrix\",\"rows\":" + std::to_string(NB_s) + ",\"cols\":" + std::to_string(abundance_2dim__) + "},\"block\":\"parameters\"},{\"name\":\"multinomial_nuisance\",\"type\":{\"name\":\"vector\",\"length\":" + std::to_string(NS) + "},\"block\":\"parameters\"},{\"name\":\"sd_prevalence\",\"type\":{\"name\":\"matrix\",\"rows\":" + std::to_string(NSB) + ",\"cols\":" + std::to_string(NFB) + "},\"block\":\"transformed_parameters\"},{\"name\":\"sd_abundance\",\"type\":{\"name\":\"matrix\",\"rows\":" + std::to_string(NSB) + ",\"cols\":" + std::to_string(sd_abundance_2dim__) + "},\"block\":\"transformed_parameters\"},{\"name\":\"beta_prevalence\",\"type\":{\"name\":\"matrix\",\"rows\":" + std::to_string(NB_s) + ",\"cols\":" + std::to_string(NB_f) + "},\"block\":\"transformed_parameters\"},{\"name\":\"beta_abundance\",\"type\":{\"name\":\"matrix\",\"rows\":" + std::to_string(NB_s) + ",\"cols\":" + std::to_string(beta_abundance_2dim__) + "},\"block\":\"transformed_parameters\"}]"); + + } // get_constrained_sizedtypes() + + inline std::string get_unconstrained_sizedtypes() const { + + return std::string("[{\"name\":\"global_scale_prevalence\",\"type\":{\"name\":\"real\"},\"block\":\"parameters\"},{\"name\":\"global_scale_abundance\",\"type\":{\"name\":\"real\"},\"block\":\"parameters\"},{\"name\":\"sd_prevalence_norm\",\"type\":{\"name\":\"vector\",\"length\":" + std::to_string(sd_prevalence_norm_1dim__) + "},\"block\":\"parameters\"},{\"name\":\"sd_abundance_norm\",\"type\":{\"name\":\"vector\",\"length\":" + std::to_string(sd_abundance_norm_1dim__) + "},\"block\":\"parameters\"},{\"name\":\"prevalence\",\"type\":{\"name\":\"matrix\",\"rows\":" + std::to_string(NB_s) + ",\"cols\":" + std::to_string(NB_f) + "},\"block\":\"parameters\"},{\"name\":\"abundance\",\"type\":{\"name\":\"matrix\",\"rows\":" + std::to_string(NB_s) + ",\"cols\":" + std::to_string(abundance_2dim__) + "},\"block\":\"parameters\"},{\"name\":\"multinomial_nuisance\",\"type\":{\"name\":\"vector\",\"length\":" + std::to_string(NS) + "},\"block\":\"parameters\"},{\"name\":\"sd_prevalence\",\"type\":{\"name\":\"matrix\",\"rows\":" + std::to_string(NSB) + ",\"cols\":" + std::to_string(NFB) + "},\"block\":\"transformed_parameters\"},{\"name\":\"sd_abundance\",\"type\":{\"name\":\"matrix\",\"rows\":" + std::to_string(NSB) + ",\"cols\":" + std::to_string(sd_abundance_2dim__) + "},\"block\":\"transformed_parameters\"},{\"name\":\"beta_prevalence\",\"type\":{\"name\":\"matrix\",\"rows\":" + std::to_string(NB_s) + ",\"cols\":" + std::to_string(NB_f) + "},\"block\":\"transformed_parameters\"},{\"name\":\"beta_abundance\",\"type\":{\"name\":\"matrix\",\"rows\":" + std::to_string(NB_s) + ",\"cols\":" + std::to_string(beta_abundance_2dim__) + "},\"block\":\"transformed_parameters\"}]"); + + } // get_unconstrained_sizedtypes() + + + // Begin method overload boilerplate + template + inline void write_array(RNG& base_rng, + Eigen::Matrix& params_r, + Eigen::Matrix& vars, + const bool emit_transformed_parameters = true, + const bool emit_generated_quantities = true, + std::ostream* pstream = nullptr) const { + std::vector vars_vec; + vars_vec.reserve(vars.size()); + std::vector params_i; + write_array_impl(base_rng, params_r, params_i, vars_vec, + emit_transformed_parameters, emit_generated_quantities, pstream); + vars = Eigen::Map>( + vars_vec.data(), vars_vec.size()); + } + + template + inline void write_array(RNG& base_rng, std::vector& params_r, + std::vector& params_i, + std::vector& vars, + bool emit_transformed_parameters = true, + bool emit_generated_quantities = true, + std::ostream* pstream = nullptr) const { + write_array_impl(base_rng, params_r, params_i, vars, + emit_transformed_parameters, emit_generated_quantities, pstream); + } + + template + inline T_ log_prob(Eigen::Matrix& params_r, + std::ostream* pstream = nullptr) const { + Eigen::Matrix params_i; + return log_prob_impl(params_r, params_i, pstream); + } + + template + inline T__ log_prob(std::vector& params_r, + std::vector& params_i, + std::ostream* pstream = nullptr) const { + return log_prob_impl(params_r, params_i, pstream); + } + + + inline void transform_inits(const stan::io::var_context& context, + Eigen::Matrix& params_r, + std::ostream* pstream = nullptr) const final { + std::vector params_r_vec; + params_r_vec.reserve(params_r.size()); + std::vector params_i; + transform_inits_impl(context, params_i, params_r_vec, pstream); + params_r = Eigen::Map>( + params_r_vec.data(), params_r_vec.size()); + } + inline void transform_inits(const stan::io::var_context& context, + std::vector& params_i, + std::vector& vars, + std::ostream* pstream = nullptr) const final { + transform_inits_impl(context, params_i, vars, pstream); + } + +}; +} +using stan_model = zip_glm_model_namespace::zip_glm_model; + +#ifndef USING_R + +// Boilerplate +stan::model::model_base& new_model( + stan::io::var_context& data_context, + unsigned int seed, + std::ostream* msg_stream) { + stan_model* m = new stan_model(data_context, seed, msg_stream); + return *m; +} + +stan::math::profile_map& get_stan_profile_data() { + return zip_glm_model_namespace::profiles__; +} + +#endif + + From 5611fd3c391ebaef19c6680088ab499b1048c488 Mon Sep 17 00:00:00 2001 From: Ryan McMinds Date: Mon, 15 Nov 2021 22:09:00 -0500 Subject: [PATCH 03/13] bugfix --- microbiomes/qc_16S/01_init_QC.sh | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/microbiomes/qc_16S/01_init_QC.sh b/microbiomes/qc_16S/01_init_QC.sh index 6794505..69524fd 100644 --- a/microbiomes/qc_16S/01_init_QC.sh +++ b/microbiomes/qc_16S/01_init_QC.sh @@ -1,10 +1,10 @@ #!/bin/bash -#SBATCH --job-name=01_init_qc +#SBATCH --job-name=01_init_QC #SBATCH --partition=rra #SBATCH --qos=rra #SBATCH --mail-user=salexander4@usf.edu #SBATCH --mail-type=END,FAIL -#SBATCH --output=logs/01_init_qc.out +#SBATCH --output=logs/01_init_QC.out #SBATCH --ntasks=1 #SBATCH --nodes=1 #SBATCH --cpus-per-task=1 @@ -18,8 +18,8 @@ barcodes_fwd=barcodes_fwd.fasta barcodes_rev=barcodes_rev.fasta nthreads=1 -mkdir -p ${outdir}/1_init_QC/demultiplexed/ -mkdir -p ${outdir}/1_init_QC/merged +mkdir -p ${outdir}/01_init_QC/demultiplexed/ +mkdir -p ${outdir}/01_init_QC/merged # trim indices and primers from sequences, demultiplex, and discard any sequences that don't contain both full barcodes and primers module purge @@ -31,12 +31,12 @@ cutadapt \ --pair-filter=any \ -g file:${barcodes_fwd} \ -G file:${barcodes_rev} \ - -o ${outdir}/trimmed/{name1}-{name2}_R1.fastq \ - -p ${outdir}/trimmed/{name1}-{name2}_R2.fastq \ + -o ${outdir}/01_init_QC/demultiplexed/{name1}-{name2}_R1.fastq \ + -p ${outdir}/01_init_QC/demultiplexed/{name1}-{name2}_R2.fastq \ ${in_fwd} \ ${in_rev} -for file in ${outdir}/1_init_QC/demultiplexed/*_R1.fastq; do +for file in ${outdir}/01_init_QC/demultiplexed/*_R1.fastq; do # trim "R1" from filenames to get Sample IDs that match mapping file filename=$(basename $file) @@ -53,7 +53,7 @@ for file in ${outdir}/1_init_QC/demultiplexed/*_R1.fastq; do --fastq_allowmergestagger \ --fasta_width 0 \ --threads ${nthreads} \ - --fastqout ${outdir}/1_init_QC/merged/${sampleid}.fastq + --fastqout ${outdir}/01_init_QC/merged/${sampleid}.fastq done From b841ad6be787fef2469d27fd0ec81ae314c4ce8e Mon Sep 17 00:00:00 2001 From: Ryan McMinds Date: Mon, 15 Nov 2021 22:16:19 -0500 Subject: [PATCH 04/13] theoretically converted script to use local.env --- microbiomes/qc_16S/01_init_QC.sh | 37 +++++++++++++++++++------------- 1 file changed, 22 insertions(+), 15 deletions(-) diff --git a/microbiomes/qc_16S/01_init_QC.sh b/microbiomes/qc_16S/01_init_QC.sh index 69524fd..49641d5 100644 --- a/microbiomes/qc_16S/01_init_QC.sh +++ b/microbiomes/qc_16S/01_init_QC.sh @@ -1,22 +1,24 @@ +# get local variables +source local.env + +mkdir -p ${outdir}/01_init_QC + +cat < ${outdir}/01_init_QC/01_init_QC.sbatch #!/bin/bash #SBATCH --job-name=01_init_QC -#SBATCH --partition=rra -#SBATCH --qos=rra -#SBATCH --mail-user=salexander4@usf.edu +#SBATCH --partition=${partition} +#SBATCH --qos=${qos} +#SBATCH --mail-user=${email} #SBATCH --mail-type=END,FAIL -#SBATCH --output=logs/01_init_QC.out +#SBATCH --output=${outdir}/01_init_QC/01_init_QC.log #SBATCH --ntasks=1 #SBATCH --nodes=1 #SBATCH --cpus-per-task=1 #SBATCH --mem=20 #SBATCH --time=01:00:00 -outdir=$WORK/output/dada2_tutorial -in_fwd= -in_rev= -barcodes_fwd=barcodes_fwd.fasta -barcodes_rev=barcodes_rev.fasta -nthreads=1 +# get local variables +source local.env mkdir -p ${outdir}/01_init_QC/demultiplexed/ mkdir -p ${outdir}/01_init_QC/merged @@ -39,8 +41,8 @@ cutadapt \ for file in ${outdir}/01_init_QC/demultiplexed/*_R1.fastq; do # trim "R1" from filenames to get Sample IDs that match mapping file - filename=$(basename $file) - sampleid=${filename/_*/} ## need to somehow translate the filenames to sample IDs (this doesn't actually do that) + filename=\$(basename \$file) + sampleid=\${filename/_*/} ## need to somehow translate the filenames to sample IDs (this doesn't actually do that) # merge paired-end reads such that short reads, where the read is longer than the insertion (such as mitochondria), are not discarded, and nucleotides are trimmed that extend past the beginning of the paired read (which are just adaptor sequences) @@ -48,12 +50,17 @@ for file in ${outdir}/01_init_QC/demultiplexed/*_R1.fastq; do module purge module load apps/vsearch vsearch \ - --fastq_mergepairs ${file} \ - --reverse ${file/R1/R2} \ + --fastq_mergepairs \${file} \ + --reverse \${file/R1/R2} \ --fastq_allowmergestagger \ --fasta_width 0 \ --threads ${nthreads} \ - --fastqout ${outdir}/01_init_QC/merged/${sampleid}.fastq + --fastqout ${outdir}/01_init_QC/merged/\${sampleid}.fastq done +EOF + +if $autorun; then + sbatch ${outdir}/01_init_QC/01_init_QC.sbatch +fi From 247b8206c274177189cc3ce2d9251350803281a8 Mon Sep 17 00:00:00 2001 From: Ryan McMinds Date: Mon, 15 Nov 2021 22:16:41 -0500 Subject: [PATCH 05/13] theoretically converted script to use local.env --- microbiomes/qc_16S/README.txt | 1 + microbiomes/qc_16S/local.env.txt | 22 ++++++++++++++++++++++ 2 files changed, 23 insertions(+) create mode 100644 microbiomes/qc_16S/README.txt create mode 100644 microbiomes/qc_16S/local.env.txt diff --git a/microbiomes/qc_16S/README.txt b/microbiomes/qc_16S/README.txt new file mode 100644 index 0000000..86ac1a8 --- /dev/null +++ b/microbiomes/qc_16S/README.txt @@ -0,0 +1 @@ +make a copy of local.env.txt to local.env and fill in the blanks \ No newline at end of file diff --git a/microbiomes/qc_16S/local.env.txt b/microbiomes/qc_16S/local.env.txt new file mode 100644 index 0000000..ab3423a --- /dev/null +++ b/microbiomes/qc_16S/local.env.txt @@ -0,0 +1,22 @@ +email=yourname@yourdomain.com + +## how many processors do you want to use +nthreads=20 + +## max ram +maxram=20G + +## what slurm partition and qos do you want to use +partition=rra +qos=rra + +in_fwd= +in_rev= +barcodes_fwd=barcodes_fwd.fasta +barcodes_rev=barcodes_rev.fasta +outdir=/path/to/output/directory + +autorun=true + +## this tells the scripts where to find this file +scriptdir=$(dirname "$(realpath -s "$0")") From ebf847c983d755f1be4840de2060c65a489787e5 Mon Sep 17 00:00:00 2001 From: Ryan McMinds Date: Mon, 15 Nov 2021 22:48:41 -0500 Subject: [PATCH 06/13] update --- microbiomes/qc_16S/01_init_QC.sh | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/microbiomes/qc_16S/01_init_QC.sh b/microbiomes/qc_16S/01_init_QC.sh index 49641d5..c4c610c 100644 --- a/microbiomes/qc_16S/01_init_QC.sh +++ b/microbiomes/qc_16S/01_init_QC.sh @@ -37,12 +37,13 @@ cutadapt \ -p ${outdir}/01_init_QC/demultiplexed/{name1}-{name2}_R2.fastq \ ${in_fwd} \ ${in_rev} +# double check that reads are oriented consistently (does the above need to be re-run with the forward and reverse indices and or primers switched?) for file in ${outdir}/01_init_QC/demultiplexed/*_R1.fastq; do # trim "R1" from filenames to get Sample IDs that match mapping file filename=\$(basename \$file) - sampleid=\${filename/_*/} ## need to somehow translate the filenames to sample IDs (this doesn't actually do that) + sampleid=\${filename/-*/} ## double check that all files have matching name1 and name2 or else this could overwrite a good file with a bad one # merge paired-end reads such that short reads, where the read is longer than the insertion (such as mitochondria), are not discarded, and nucleotides are trimmed that extend past the beginning of the paired read (which are just adaptor sequences) From 6e89556230d9ec70f8f9e03adac54cc6fa4794f1 Mon Sep 17 00:00:00 2001 From: Ryan McMinds Date: Mon, 15 Nov 2021 22:56:48 -0500 Subject: [PATCH 07/13] update readme --- microbiomes/qc_16S/README.txt | 1 - 1 file changed, 1 deletion(-) delete mode 100644 microbiomes/qc_16S/README.txt diff --git a/microbiomes/qc_16S/README.txt b/microbiomes/qc_16S/README.txt deleted file mode 100644 index 86ac1a8..0000000 --- a/microbiomes/qc_16S/README.txt +++ /dev/null @@ -1 +0,0 @@ -make a copy of local.env.txt to local.env and fill in the blanks \ No newline at end of file From d9a92abb1b00825bc2377e471e432bedd96088e2 Mon Sep 17 00:00:00 2001 From: Ryan McMinds Date: Mon, 15 Nov 2021 23:01:26 -0500 Subject: [PATCH 08/13] dada2 template --- microbiomes/qc_16S/01_init_QC.sh | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/microbiomes/qc_16S/01_init_QC.sh b/microbiomes/qc_16S/01_init_QC.sh index c4c610c..19ab28d 100644 --- a/microbiomes/qc_16S/01_init_QC.sh +++ b/microbiomes/qc_16S/01_init_QC.sh @@ -11,7 +11,7 @@ cat < ${outdir}/01_init_QC/01_init_QC.sbatch #SBATCH --mail-user=${email} #SBATCH --mail-type=END,FAIL #SBATCH --output=${outdir}/01_init_QC/01_init_QC.log -#SBATCH --ntasks=1 +#SBATCH --ntasks=${nthreads} #SBATCH --nodes=1 #SBATCH --cpus-per-task=1 #SBATCH --mem=20 From baaeabbac0ba97f9e82e3b10c6fa64ddbbbaa568 Mon Sep 17 00:00:00 2001 From: Ryan McMinds Date: Mon, 15 Nov 2021 23:01:35 -0500 Subject: [PATCH 09/13] dada2 template --- microbiomes/qc_16S/02_dada2.sh | 27 +++++++++++++++++++++++++++ microbiomes/qc_16S/README | 3 +++ 2 files changed, 30 insertions(+) create mode 100644 microbiomes/qc_16S/02_dada2.sh create mode 100644 microbiomes/qc_16S/README diff --git a/microbiomes/qc_16S/02_dada2.sh b/microbiomes/qc_16S/02_dada2.sh new file mode 100644 index 0000000..f647f69 --- /dev/null +++ b/microbiomes/qc_16S/02_dada2.sh @@ -0,0 +1,27 @@ +# get local variables +source local.env + +mkdir -p ${outdir}/02_dada2 + +cat < ${outdir}/02_dada2/02_dada2.sbatch +#!/bin/bash +#SBATCH --job-name=02_dada2 +#SBATCH --partition=${partition} +#SBATCH --qos=${qos} +#SBATCH --mail-user=${email} +#SBATCH --mail-type=END,FAIL +#SBATCH --output=${outdir}/02_dada2/02_dada2.log +#SBATCH --ntasks=${nthreads} +#SBATCH --nodes=1 +#SBATCH --cpus-per-task=1 +#SBATCH --mem=20 +#SBATCH --time=01:00:00 + +module load apps/R +Rscript 02_dada2.r + +EOF + +if $autorun; then + sbatch ${outdir}/01_init_QC/01_init_QC.sbatch +fi diff --git a/microbiomes/qc_16S/README b/microbiomes/qc_16S/README new file mode 100644 index 0000000..2456bf3 --- /dev/null +++ b/microbiomes/qc_16S/README @@ -0,0 +1,3 @@ +make a copy of local.env.txt to local.env and fill in the blanks + +run each script by changing into this directory and then using 'bash scriptname.sh'. 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zo9BHPDD;x)yk(CT3ROUDZ59YqwMu1gb!-qYgYQh=2ilx}b0WD`$G~58yfDXCtFmNtc*5Z@~>E3StMm**)C!Fm@j}y)`uZo^A^i7HgOHQZ|{h1G#be8X;Lgc*}QJ-{b~;P zIhjo?@CpvI7LmVJS*GsLj)cXe zmG#T8;y6?$2FokFF$=yqeC-`YVo3SUBBkZ*OCv@1dNUAw>=-HP;Zv=!J8amNG9w}d zp?aV>YV}}MGZ5ZkJ6hA;V5Sn8y&C0u(ZW~HJ)5lv`%EO;$>$-J+S%uxm3m9kWV-mV z*+o-_NA~g>un(%90urxbGY(A;) z7pPfndy9rlZJ=RWJ55RLmg%hv5IMb$yvn||ByEd?)dXm3nFt%gV9?D1<**?#F~USZ z7SI8!PlI`Y>9o3ZEb17r+Tm>l;jvhq!@9?)Ref1oVEDtUC49g5sLMaRV{VBGcHa_J z)AtcDy~8MbRyVv78mWdxi#b$^T_9X6vA31J5<2uCT%R}tG&UZMWoVG%*?cU&|<&UU5!UqFvq zz@Gy>E*q5o)lb&V!rcH&zo>O5n6|>{w*uk3GJik-R#)vDbh`>}{tvqr-;a&8?!FLW z{PttK@vUs%e)#u0t8!@Su{S;*((b%&gS3Qb8f9<&t9NhMb0PGLjbNzXUj6d!I>z;- zH{*A2EjWbwZTxoY`}eOty#C+K_5Jtn#y2O&Po>EKz&_|4V3pI=?Y z@mnnGdiTZr7Aph2Q-q!3IDPwe^d@d$+JMba7x;a2ZBwSg$LRgd_^Jo*6+qp93jJyW W7Vv5Z0vtV(4WkU|ccY)`pZ^D+NnnWp From fb4b614bb7984d2246bfb1f3c00450cb4be6bec1 Mon Sep 17 00:00:00 2001 From: Ryan McMinds Date: Mon, 15 Nov 2021 23:03:41 -0500 Subject: [PATCH 11/13] dada2 template --- microbiomes/zip_glm/zip_glm.hpp | 1351 ------------------------------- 1 file changed, 1351 deletions(-) delete mode 100644 microbiomes/zip_glm/zip_glm.hpp diff --git a/microbiomes/zip_glm/zip_glm.hpp b/microbiomes/zip_glm/zip_glm.hpp deleted file mode 100644 index 8d969bc..0000000 --- a/microbiomes/zip_glm/zip_glm.hpp +++ /dev/null @@ -1,1351 +0,0 @@ - -// Code generated by stanc v2.27.0 -#include -namespace zip_glm_model_namespace { - -using stan::io::dump; -using stan::model::assign; -using stan::model::index_uni; -using stan::model::index_max; -using stan::model::index_min; -using stan::model::index_min_max; -using stan::model::index_multi; -using stan::model::index_omni; -using stan::model::model_base_crtp; -using stan::model::rvalue; -using namespace stan::math; - - -stan::math::profile_map profiles__; -static constexpr std::array locations_array__ = -{" (found before start of program)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 30, column 4 to column 42)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 31, column 4 to column 41)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 32, column 4 to column 50)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 33, column 4 to column 53)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 34, column 4 to column 33)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 35, column 4 to column 34)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 36, column 4 to column 36)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 39, column 4 to column 181)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 40, column 4 to column 139)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 41, column 4 to column 111)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 42, column 4 to column 51)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 43, column 4 to column 125)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 44, column 4 to column 103)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 48, column 4 to column 55)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 49, column 4 to column 54)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 50, column 4 to column 81)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 51, column 4 to column 79)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 52, column 4 to column 67)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 53, column 4 to column 66)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 56, column 8 to column 31)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 58, column 12 to column 35)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 59, column 12 to column 83)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 57, column 23 to line 60, column 9)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 57, column 8 to line 60, column 9)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 55, column 19 to line 61, column 5)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 55, column 4 to line 61, column 5)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 11, column 4 to column 11)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 12, column 4 to column 13)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 13, column 4 to column 12)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 14, column 10 to column 14)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 14, column 4 to column 26)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 15, column 11 to column 15)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 15, column 16 to column 20)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 15, column 4 to column 35)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 16, column 4 to column 11)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 17, column 4 to column 13)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 18, column 4 to column 12)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 19, column 10 to column 14)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 19, column 4 to column 26)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 20, column 11 to column 15)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 20, column 16 to column 20)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 20, column 4 to column 35)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 21, column 10 to column 12)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 21, column 13 to column 15)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 21, column 4 to column 27)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 22, column 4 to column 23)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 23, column 4 to column 23)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 26, column 10 to column 16)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 26, column 4 to column 29)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 27, column 21 to column 48)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 27, column 4 to column 48)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 32, column 20 to column 29)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 33, column 20 to column 33)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 34, column 11 to column 15)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 34, column 16 to column 20)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 35, column 11 to column 15)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 35, column 16 to column 22)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 36, column 11 to column 13)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 39, column 20 to column 23)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 39, column 24 to column 27)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 40, column 20 to column 23)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 40, column 24 to column 29)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 41, column 11 to column 15)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 41, column 16 to column 20)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 42, column 11 to column 15)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 42, column 16 to column 22)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 6, column 12 to column 79)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 5, column 15 to line 7, column 9)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 4, column 12 to column 63)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 3, column 18 to line 5, column 9)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 3, column 8 to line 7, column 9)", - " (in '/Users/Ryan/scripts/analysis_templates/microbiomes/zip_glm/zip_glm.stan', line 2, column 41 to line 8, column 5)"}; - - -template -stan::promote_args_t -zip_lpmf(const int& c, const T1__& p, const T2__& a, std::ostream* pstream__) { - using local_scalar_t__ = stan::promote_args_t; - int current_statement__ = 0; - local_scalar_t__ DUMMY_VAR__(std::numeric_limits::quiet_NaN()); - (void) DUMMY_VAR__; // suppress unused var warning - try { - current_statement__ = 71; - if (logical_gt(c, 0)) { - current_statement__ = 69; - return (log_inv_logit(p) + poisson_log_lpmf(c, a)); - } else { - current_statement__ = 67; - return log_sum_exp(log1m_inv_logit(p), - (log_inv_logit(p) - stan::math::exp(a))); - } - } catch (const std::exception& e) { - stan::lang::rethrow_located(e, locations_array__[current_statement__]); - // Next line prevents compiler griping about no return - throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***"); - } - -} - -struct zip_lpmf_functor__ { -template -stan::promote_args_t -operator()(const int& c, const T1__& p, const T2__& a, - std::ostream* pstream__) const -{ -return zip_lpmf(c, p, a, pstream__); -} -}; - -class zip_glm_model final : public model_base_crtp { - - private: - int NS; - int NB_s; - int NSB; - std::vector idx_s; - Eigen::Matrix X_s_full_inv__; - int NF; - int NB_f; - int NFB; - std::vector idx_f; - Eigen::Matrix X_f_full_inv__; - std::vector> count; - double prior_scale_p; - double prior_scale_a; - std::vector idx_f2; - int sd_prevalence_norm_1dim__; - int sd_abundance_norm_1dim__; - int abundance_2dim__; - int sd_abundance_2dim__; - int beta_abundance_2dim__; - Eigen::Map> X_s_full_inv{nullptr, 0, 0}; - Eigen::Map> X_f_full_inv{nullptr, 0, 0}; - - public: - ~zip_glm_model() { } - - inline std::string model_name() const final { return "zip_glm_model"; } - - inline std::vector model_compile_info() const noexcept { - return std::vector{"stanc_version = stanc3 v2.27.0", "stancflags = "}; - } - - - zip_glm_model(stan::io::var_context& context__, - unsigned int random_seed__ = 0, - std::ostream* pstream__ = nullptr) : model_base_crtp(0) { - int current_statement__ = 0; - using local_scalar_t__ = double ; - boost::ecuyer1988 base_rng__ = - stan::services::util::create_rng(random_seed__, 0); - (void) base_rng__; // suppress unused var warning - static constexpr const char* function__ = "zip_glm_model_namespace::zip_glm_model"; - (void) function__; // suppress unused var warning - local_scalar_t__ DUMMY_VAR__(std::numeric_limits::quiet_NaN()); - (void) DUMMY_VAR__; // suppress unused var warning - try { - int pos__; - pos__ = std::numeric_limits::min(); - - pos__ = 1; - current_statement__ = 27; - context__.validate_dims("data initialization","NS","int", - std::vector{}); - NS = std::numeric_limits::min(); - - current_statement__ = 27; - NS = context__.vals_i("NS")[(1 - 1)]; - current_statement__ = 28; - context__.validate_dims("data initialization","NB_s","int", - std::vector{}); - NB_s = std::numeric_limits::min(); - - current_statement__ = 28; - NB_s = context__.vals_i("NB_s")[(1 - 1)]; - current_statement__ = 29; - context__.validate_dims("data initialization","NSB","int", - std::vector{}); - NSB = std::numeric_limits::min(); - - current_statement__ = 29; - NSB = context__.vals_i("NSB")[(1 - 1)]; - current_statement__ = 30; - validate_non_negative_index("idx_s", "NB_s", NB_s); - current_statement__ = 31; - context__.validate_dims("data initialization","idx_s","int", - std::vector{static_cast(NB_s)}); - idx_s = std::vector(NB_s, std::numeric_limits::min()); - - current_statement__ = 31; - idx_s = context__.vals_i("idx_s"); - current_statement__ = 32; - validate_non_negative_index("X_s_full_inv", "NB_s", NB_s); - current_statement__ = 33; - validate_non_negative_index("X_s_full_inv", "NB_s", NB_s); - current_statement__ = 34; - context__.validate_dims("data initialization","X_s_full_inv","double", - std::vector{static_cast(NB_s), - static_cast(NB_s)}); - X_s_full_inv__ = Eigen::Matrix(NB_s, NB_s); - new (&X_s_full_inv) Eigen::Map>(X_s_full_inv__.data(), NB_s, NB_s); - - - { - std::vector X_s_full_inv_flat__; - current_statement__ = 34; - X_s_full_inv_flat__ = context__.vals_r("X_s_full_inv"); - current_statement__ = 34; - pos__ = 1; - current_statement__ = 34; - for (int sym1__ = 1; sym1__ <= NB_s; ++sym1__) { - current_statement__ = 34; - for (int sym2__ = 1; sym2__ <= NB_s; ++sym2__) { - current_statement__ = 34; - assign(X_s_full_inv, X_s_full_inv_flat__[(pos__ - 1)], - "assigning variable X_s_full_inv", index_uni(sym2__), - index_uni(sym1__)); - current_statement__ = 34; - pos__ = (pos__ + 1); - } - } - } - current_statement__ = 35; - context__.validate_dims("data initialization","NF","int", - std::vector{}); - NF = std::numeric_limits::min(); - - current_statement__ = 35; - NF = context__.vals_i("NF")[(1 - 1)]; - current_statement__ = 36; - context__.validate_dims("data initialization","NB_f","int", - std::vector{}); - NB_f = std::numeric_limits::min(); - - current_statement__ = 36; - NB_f = context__.vals_i("NB_f")[(1 - 1)]; - current_statement__ = 37; - context__.validate_dims("data initialization","NFB","int", - std::vector{}); - NFB = std::numeric_limits::min(); - - current_statement__ = 37; - NFB = context__.vals_i("NFB")[(1 - 1)]; - current_statement__ = 38; - validate_non_negative_index("idx_f", "NB_f", NB_f); - current_statement__ = 39; - context__.validate_dims("data initialization","idx_f","int", - std::vector{static_cast(NB_f)}); - idx_f = std::vector(NB_f, std::numeric_limits::min()); - - current_statement__ = 39; - idx_f = context__.vals_i("idx_f"); - current_statement__ = 40; - validate_non_negative_index("X_f_full_inv", "NB_f", NB_f); - current_statement__ = 41; - validate_non_negative_index("X_f_full_inv", "NB_f", NB_f); - current_statement__ = 42; - context__.validate_dims("data initialization","X_f_full_inv","double", - std::vector{static_cast(NB_f), - static_cast(NB_f)}); - X_f_full_inv__ = Eigen::Matrix(NB_f, NB_f); - new (&X_f_full_inv) Eigen::Map>(X_f_full_inv__.data(), NB_f, NB_f); - - - { - std::vector X_f_full_inv_flat__; - current_statement__ = 42; - X_f_full_inv_flat__ = context__.vals_r("X_f_full_inv"); - current_statement__ = 42; - pos__ = 1; - current_statement__ = 42; - for (int sym1__ = 1; sym1__ <= NB_f; ++sym1__) { - current_statement__ = 42; - for (int sym2__ = 1; sym2__ <= NB_f; ++sym2__) { - current_statement__ = 42; - assign(X_f_full_inv, X_f_full_inv_flat__[(pos__ - 1)], - "assigning variable X_f_full_inv", index_uni(sym2__), - index_uni(sym1__)); - current_statement__ = 42; - pos__ = (pos__ + 1); - } - } - } - current_statement__ = 43; - validate_non_negative_index("count", "NF", NF); - current_statement__ = 44; - validate_non_negative_index("count", "NS", NS); - current_statement__ = 45; - context__.validate_dims("data initialization","count","int", - std::vector{static_cast(NF), - static_cast(NS)}); - count = std::vector>(NF, std::vector(NS, std::numeric_limits::min())); - - - { - std::vector count_flat__; - current_statement__ = 45; - count_flat__ = context__.vals_i("count"); - current_statement__ = 45; - pos__ = 1; - current_statement__ = 45; - for (int sym1__ = 1; sym1__ <= NS; ++sym1__) { - current_statement__ = 45; - for (int sym2__ = 1; sym2__ <= NF; ++sym2__) { - current_statement__ = 45; - assign(count, count_flat__[(pos__ - 1)], - "assigning variable count", index_uni(sym2__), - index_uni(sym1__)); - current_statement__ = 45; - pos__ = (pos__ + 1); - } - } - } - current_statement__ = 46; - context__.validate_dims("data initialization","prior_scale_p","double", - std::vector{}); - prior_scale_p = std::numeric_limits::quiet_NaN(); - - current_statement__ = 46; - prior_scale_p = context__.vals_r("prior_scale_p")[(1 - 1)]; - current_statement__ = 47; - context__.validate_dims("data initialization","prior_scale_a","double", - std::vector{}); - prior_scale_a = std::numeric_limits::quiet_NaN(); - - current_statement__ = 47; - prior_scale_a = context__.vals_r("prior_scale_a")[(1 - 1)]; - current_statement__ = 48; - validate_non_negative_index("idx_f2", "NB_f - 1", (NB_f - 1)); - current_statement__ = 49; - idx_f2 = std::vector((NB_f - 1), std::numeric_limits::min()); - - current_statement__ = 51; - for (int f = 2; f <= NB_f; ++f) { - current_statement__ = 50; - assign(idx_f2, (rvalue(idx_f, "idx_f", index_uni(f)) - 1), - "assigning variable idx_f2", index_uni((f - 1))); - } - current_statement__ = 52; - sd_prevalence_norm_1dim__ = std::numeric_limits::min(); - - current_statement__ = 52; - sd_prevalence_norm_1dim__ = ((NSB * NFB) - 2); - current_statement__ = 52; - validate_non_negative_index("sd_prevalence_norm", "NSB * NFB - 2", - sd_prevalence_norm_1dim__); - current_statement__ = 53; - sd_abundance_norm_1dim__ = std::numeric_limits::min(); - - current_statement__ = 53; - sd_abundance_norm_1dim__ = ((NSB * (NFB - 1)) - 1); - current_statement__ = 53; - validate_non_negative_index("sd_abundance_norm", "NSB * (NFB - 1) - 1", - sd_abundance_norm_1dim__); - current_statement__ = 54; - validate_non_negative_index("prevalence", "NB_s", NB_s); - current_statement__ = 55; - validate_non_negative_index("prevalence", "NB_f", NB_f); - current_statement__ = 56; - validate_non_negative_index("abundance", "NB_s", NB_s); - current_statement__ = 57; - abundance_2dim__ = std::numeric_limits::min(); - - current_statement__ = 57; - abundance_2dim__ = (NB_f - 1); - current_statement__ = 57; - validate_non_negative_index("abundance", "NB_f - 1", abundance_2dim__); - current_statement__ = 58; - validate_non_negative_index("multinomial_nuisance", "NS", NS); - current_statement__ = 59; - validate_non_negative_index("sd_prevalence", "NSB", NSB); - current_statement__ = 60; - validate_non_negative_index("sd_prevalence", "NFB", NFB); - current_statement__ = 61; - validate_non_negative_index("sd_abundance", "NSB", NSB); - current_statement__ = 62; - sd_abundance_2dim__ = std::numeric_limits::min(); - - current_statement__ = 62; - sd_abundance_2dim__ = (NFB - 1); - current_statement__ = 62; - validate_non_negative_index("sd_abundance", "NFB - 1", - sd_abundance_2dim__); - current_statement__ = 63; - validate_non_negative_index("beta_prevalence", "NB_s", NB_s); - current_statement__ = 64; - validate_non_negative_index("beta_prevalence", "NB_f", NB_f); - current_statement__ = 65; - validate_non_negative_index("beta_abundance", "NB_s", NB_s); - current_statement__ = 66; - beta_abundance_2dim__ = std::numeric_limits::min(); - - current_statement__ = 66; - beta_abundance_2dim__ = (NB_f - 1); - current_statement__ = 66; - validate_non_negative_index("beta_abundance", "NB_f - 1", - beta_abundance_2dim__); - } catch (const std::exception& e) { - stan::lang::rethrow_located(e, locations_array__[current_statement__]); - // Next line prevents compiler griping about no return - throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***"); - } - num_params_r__ = 1 + 1 + sd_prevalence_norm_1dim__ - + sd_abundance_norm_1dim__ + (NB_s * NB_f) + (NB_s * abundance_2dim__) - + NS; - - } - - template * = nullptr, - stan::require_vector_like_vt* = nullptr> - inline stan::scalar_type_t log_prob_impl(VecR& params_r__, - VecI& params_i__, - std::ostream* pstream__ = nullptr) const { - using T__ = stan::scalar_type_t; - using local_scalar_t__ = T__; - T__ lp__(0.0); - stan::math::accumulator lp_accum__; - stan::io::deserializer in__(params_r__, params_i__); - int current_statement__ = 0; - local_scalar_t__ DUMMY_VAR__(std::numeric_limits::quiet_NaN()); - (void) DUMMY_VAR__; // suppress unused var warning - static constexpr const char* function__ = "zip_glm_model_namespace::log_prob"; - (void) function__; // suppress unused var warning - - try { - local_scalar_t__ global_scale_prevalence; - global_scale_prevalence = DUMMY_VAR__; - - current_statement__ = 1; - global_scale_prevalence = in__.template read_constrain_lb( - 0, lp__); - local_scalar_t__ global_scale_abundance; - global_scale_abundance = DUMMY_VAR__; - - current_statement__ = 2; - global_scale_abundance = in__.template read_constrain_lb( - 0, lp__); - Eigen::Matrix sd_prevalence_norm; - sd_prevalence_norm = Eigen::Matrix(sd_prevalence_norm_1dim__); - stan::math::fill(sd_prevalence_norm, DUMMY_VAR__); - - current_statement__ = 3; - sd_prevalence_norm = in__.template read_constrain_lb, jacobian__>( - 0, lp__, sd_prevalence_norm_1dim__); - Eigen::Matrix sd_abundance_norm; - sd_abundance_norm = Eigen::Matrix(sd_abundance_norm_1dim__); - stan::math::fill(sd_abundance_norm, DUMMY_VAR__); - - current_statement__ = 4; - sd_abundance_norm = in__.template read_constrain_lb, jacobian__>( - 0, lp__, sd_abundance_norm_1dim__); - Eigen::Matrix prevalence; - prevalence = Eigen::Matrix(NB_s, NB_f); - stan::math::fill(prevalence, DUMMY_VAR__); - - current_statement__ = 5; - prevalence = in__.template read>( - NB_s, NB_f); - Eigen::Matrix abundance; - abundance = Eigen::Matrix(NB_s, abundance_2dim__); - stan::math::fill(abundance, DUMMY_VAR__); - - current_statement__ = 6; - abundance = in__.template read>( - NB_s, abundance_2dim__); - Eigen::Matrix multinomial_nuisance; - multinomial_nuisance = Eigen::Matrix(NS); - stan::math::fill(multinomial_nuisance, DUMMY_VAR__); - - current_statement__ = 7; - multinomial_nuisance = in__.template read>( - NS); - Eigen::Matrix sd_prevalence; - sd_prevalence = Eigen::Matrix(NSB, NFB); - stan::math::fill(sd_prevalence, DUMMY_VAR__); - - current_statement__ = 8; - assign(sd_prevalence, - multiply( - to_matrix( - append_row((100 * global_scale_prevalence), - append_row(sd_prevalence_norm, global_scale_prevalence)), NSB, - NFB), prior_scale_p), "assigning variable sd_prevalence"); - Eigen::Matrix sd_abundance; - sd_abundance = Eigen::Matrix(NSB, sd_abundance_2dim__); - stan::math::fill(sd_abundance, DUMMY_VAR__); - - current_statement__ = 9; - assign(sd_abundance, - multiply( - to_matrix(append_row(sd_abundance_norm, global_scale_abundance), - NSB, (NFB - 1)), prior_scale_a), - "assigning variable sd_abundance"); - Eigen::Matrix beta_prevalence; - beta_prevalence = Eigen::Matrix(NB_s, NB_f); - stan::math::fill(beta_prevalence, DUMMY_VAR__); - - current_statement__ = 10; - assign(beta_prevalence, - elt_divide( - multiply(multiply(X_s_full_inv, prevalence), X_f_full_inv), - rvalue(sd_prevalence, "sd_prevalence", - index_multi(idx_s), index_multi(idx_f))), - "assigning variable beta_prevalence"); - Eigen::Matrix beta_abundance; - beta_abundance = Eigen::Matrix(NB_s, beta_abundance_2dim__); - stan::math::fill(beta_abundance, DUMMY_VAR__); - - current_statement__ = 11; - assign(beta_abundance, abundance, "assigning variable beta_abundance"); - current_statement__ = 12; - assign(beta_abundance, - subtract( - stan::model::deep_copy( - rvalue(beta_abundance, "beta_abundance", - index_min(((NB_s - NS) + 1)), index_min((NB_f - NF)))), - rep_matrix(multinomial_nuisance, NF)), - "assigning variable beta_abundance", index_min(((NB_s - NS) + 1)), - index_min((NB_f - NF))); - current_statement__ = 13; - assign(beta_abundance, - elt_divide( - multiply( - multiply(X_s_full_inv, stan::model::deep_copy(beta_abundance)), - rvalue(X_f_full_inv, "X_f_full_inv", index_min(2), index_min(2))), - rvalue(sd_abundance, "sd_abundance", - index_multi(idx_s), index_multi(idx_f2))), - "assigning variable beta_abundance"); - current_statement__ = 8; - for (int sym1__ = 1; sym1__ <= NSB; ++sym1__) { - current_statement__ = 8; - for (int sym2__ = 1; sym2__ <= NFB; ++sym2__) { - current_statement__ = 8; - check_greater_or_equal(function__, "sd_prevalence[sym1__, sym2__]", - rvalue(sd_prevalence, "sd_prevalence", - index_uni(sym1__), index_uni(sym2__)), 0); - } - } - current_statement__ = 9; - for (int sym1__ = 1; sym1__ <= NSB; ++sym1__) { - current_statement__ = 9; - for (int sym2__ = 1; sym2__ <= sd_abundance_2dim__; ++sym2__) { - current_statement__ = 9; - check_greater_or_equal(function__, "sd_abundance[sym1__, sym2__]", - rvalue(sd_abundance, "sd_abundance", - index_uni(sym1__), index_uni(sym2__)), 0); - } - } - { - current_statement__ = 14; - lp_accum__.add(std_normal_lpdf(global_scale_prevalence)); - current_statement__ = 15; - lp_accum__.add(std_normal_lpdf(global_scale_abundance)); - current_statement__ = 16; - lp_accum__.add( - student_t_lpdf(sd_prevalence_norm, 5, 0, - global_scale_prevalence)); - current_statement__ = 17; - lp_accum__.add( - student_t_lpdf(sd_abundance_norm, 5, 0, - global_scale_abundance)); - current_statement__ = 18; - lp_accum__.add( - student_t_lpdf(to_vector(beta_prevalence), 5, 0, 1)); - current_statement__ = 19; - lp_accum__.add( - student_t_lpdf(to_vector(beta_abundance), 5, 0, 1)); - current_statement__ = 26; - for (int f = 1; f <= NF; ++f) { - int f2; - f2 = std::numeric_limits::min(); - - current_statement__ = 20; - f2 = ((NB_f - NF) + f); - current_statement__ = 24; - for (int s = 1; s <= NS; ++s) { - int s2; - s2 = std::numeric_limits::min(); - - current_statement__ = 21; - s2 = ((NB_s - NS) + s); - current_statement__ = 22; - lp_accum__.add( - zip_lpmf( - rvalue(count, "count", index_uni(f), index_uni(s)), - rvalue(prevalence, "prevalence", - index_uni(s2), index_uni(f2)), - rvalue(abundance, "abundance", - index_uni(s2), index_uni((f2 - 1))), pstream__)); - } - } - } - } catch (const std::exception& e) { - stan::lang::rethrow_located(e, locations_array__[current_statement__]); - // Next line prevents compiler griping about no return - throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***"); - } - lp_accum__.add(lp__); - return lp_accum__.sum(); - } // log_prob_impl() - - template * = nullptr, - stan::require_vector_like_vt* = nullptr, - stan::require_std_vector_vt* = nullptr> - inline void write_array_impl(RNG& base_rng__, VecR& params_r__, - VecI& params_i__, VecVar& vars__, - const bool emit_transformed_parameters__ = true, - const bool emit_generated_quantities__ = true, - std::ostream* pstream__ = nullptr) const { - using local_scalar_t__ = double; - vars__.resize(0); - stan::io::deserializer in__(params_r__, params_i__); - static constexpr bool propto__ = true; - (void) propto__; - double lp__ = 0.0; - (void) lp__; // dummy to suppress unused var warning - int current_statement__ = 0; - stan::math::accumulator lp_accum__; - local_scalar_t__ DUMMY_VAR__(std::numeric_limits::quiet_NaN()); - constexpr bool jacobian__ = false; - (void) DUMMY_VAR__; // suppress unused var warning - static constexpr const char* function__ = "zip_glm_model_namespace::write_array"; - (void) function__; // suppress unused var warning - - try { - double global_scale_prevalence; - global_scale_prevalence = std::numeric_limits::quiet_NaN(); - - current_statement__ = 1; - global_scale_prevalence = in__.template read_constrain_lb( - 0, lp__); - double global_scale_abundance; - global_scale_abundance = std::numeric_limits::quiet_NaN(); - - current_statement__ = 2; - global_scale_abundance = in__.template read_constrain_lb( - 0, lp__); - Eigen::Matrix sd_prevalence_norm; - sd_prevalence_norm = Eigen::Matrix(sd_prevalence_norm_1dim__); - stan::math::fill(sd_prevalence_norm, std::numeric_limits::quiet_NaN()); - - - current_statement__ = 3; - sd_prevalence_norm = in__.template read_constrain_lb, jacobian__>( - 0, lp__, sd_prevalence_norm_1dim__); - Eigen::Matrix sd_abundance_norm; - sd_abundance_norm = Eigen::Matrix(sd_abundance_norm_1dim__); - stan::math::fill(sd_abundance_norm, std::numeric_limits::quiet_NaN()); - - - current_statement__ = 4; - sd_abundance_norm = in__.template read_constrain_lb, jacobian__>( - 0, lp__, sd_abundance_norm_1dim__); - Eigen::Matrix prevalence; - prevalence = Eigen::Matrix(NB_s, NB_f); - stan::math::fill(prevalence, std::numeric_limits::quiet_NaN()); - - current_statement__ = 5; - prevalence = in__.template read>( - NB_s, NB_f); - Eigen::Matrix abundance; - abundance = Eigen::Matrix(NB_s, abundance_2dim__); - stan::math::fill(abundance, std::numeric_limits::quiet_NaN()); - - current_statement__ = 6; - abundance = in__.template read>( - NB_s, abundance_2dim__); - Eigen::Matrix multinomial_nuisance; - multinomial_nuisance = Eigen::Matrix(NS); - stan::math::fill(multinomial_nuisance, std::numeric_limits::quiet_NaN()); - - - current_statement__ = 7; - multinomial_nuisance = in__.template read>( - NS); - Eigen::Matrix sd_prevalence; - sd_prevalence = Eigen::Matrix(NSB, NFB); - stan::math::fill(sd_prevalence, std::numeric_limits::quiet_NaN()); - - - Eigen::Matrix sd_abundance; - sd_abundance = Eigen::Matrix(NSB, sd_abundance_2dim__); - stan::math::fill(sd_abundance, std::numeric_limits::quiet_NaN()); - - - Eigen::Matrix beta_prevalence; - beta_prevalence = Eigen::Matrix(NB_s, NB_f); - stan::math::fill(beta_prevalence, std::numeric_limits::quiet_NaN()); - - - Eigen::Matrix beta_abundance; - beta_abundance = Eigen::Matrix(NB_s, beta_abundance_2dim__); - stan::math::fill(beta_abundance, std::numeric_limits::quiet_NaN()); - - - vars__.emplace_back(global_scale_prevalence); - vars__.emplace_back(global_scale_abundance); - for (int sym1__ = 1; sym1__ <= sd_prevalence_norm_1dim__; ++sym1__) { - vars__.emplace_back(sd_prevalence_norm[(sym1__ - 1)]); - } - for (int sym1__ = 1; sym1__ <= sd_abundance_norm_1dim__; ++sym1__) { - vars__.emplace_back(sd_abundance_norm[(sym1__ - 1)]); - } - for (int sym1__ = 1; sym1__ <= NB_f; ++sym1__) { - for (int sym2__ = 1; sym2__ <= NB_s; ++sym2__) { - vars__.emplace_back( - rvalue(prevalence, "prevalence", - index_uni(sym2__), index_uni(sym1__))); - } - } - for (int sym1__ = 1; sym1__ <= abundance_2dim__; ++sym1__) { - for (int sym2__ = 1; sym2__ <= NB_s; ++sym2__) { - vars__.emplace_back( - rvalue(abundance, "abundance", - index_uni(sym2__), index_uni(sym1__))); - } - } - for (int sym1__ = 1; sym1__ <= NS; ++sym1__) { - vars__.emplace_back(multinomial_nuisance[(sym1__ - 1)]); - } - if (logical_negation((primitive_value(emit_transformed_parameters__) || - primitive_value(emit_generated_quantities__)))) { - return ; - } - current_statement__ = 8; - assign(sd_prevalence, - multiply( - to_matrix( - append_row((100 * global_scale_prevalence), - append_row(sd_prevalence_norm, global_scale_prevalence)), NSB, - NFB), prior_scale_p), "assigning variable sd_prevalence"); - current_statement__ = 9; - assign(sd_abundance, - multiply( - to_matrix(append_row(sd_abundance_norm, global_scale_abundance), - NSB, (NFB - 1)), prior_scale_a), - "assigning variable sd_abundance"); - current_statement__ = 10; - assign(beta_prevalence, - elt_divide( - multiply(multiply(X_s_full_inv, prevalence), X_f_full_inv), - rvalue(sd_prevalence, "sd_prevalence", - index_multi(idx_s), index_multi(idx_f))), - "assigning variable beta_prevalence"); - current_statement__ = 11; - assign(beta_abundance, abundance, "assigning variable beta_abundance"); - current_statement__ = 12; - assign(beta_abundance, - subtract( - stan::model::deep_copy( - rvalue(beta_abundance, "beta_abundance", - index_min(((NB_s - NS) + 1)), index_min((NB_f - NF)))), - rep_matrix(multinomial_nuisance, NF)), - "assigning variable beta_abundance", index_min(((NB_s - NS) + 1)), - index_min((NB_f - NF))); - current_statement__ = 13; - assign(beta_abundance, - elt_divide( - multiply( - multiply(X_s_full_inv, stan::model::deep_copy(beta_abundance)), - rvalue(X_f_full_inv, "X_f_full_inv", index_min(2), index_min(2))), - rvalue(sd_abundance, "sd_abundance", - index_multi(idx_s), index_multi(idx_f2))), - "assigning variable beta_abundance"); - current_statement__ = 8; - for (int sym1__ = 1; sym1__ <= NSB; ++sym1__) { - current_statement__ = 8; - for (int sym2__ = 1; sym2__ <= NFB; ++sym2__) { - current_statement__ = 8; - check_greater_or_equal(function__, "sd_prevalence[sym1__, sym2__]", - rvalue(sd_prevalence, "sd_prevalence", - index_uni(sym1__), index_uni(sym2__)), 0); - } - } - current_statement__ = 9; - for (int sym1__ = 1; sym1__ <= NSB; ++sym1__) { - current_statement__ = 9; - for (int sym2__ = 1; sym2__ <= sd_abundance_2dim__; ++sym2__) { - current_statement__ = 9; - check_greater_or_equal(function__, "sd_abundance[sym1__, sym2__]", - rvalue(sd_abundance, "sd_abundance", - index_uni(sym1__), index_uni(sym2__)), 0); - } - } - if (emit_transformed_parameters__) { - for (int sym1__ = 1; sym1__ <= NFB; ++sym1__) { - for (int sym2__ = 1; sym2__ <= NSB; ++sym2__) { - vars__.emplace_back( - rvalue(sd_prevalence, "sd_prevalence", - index_uni(sym2__), index_uni(sym1__))); - } - } - for (int sym1__ = 1; sym1__ <= sd_abundance_2dim__; ++sym1__) { - for (int sym2__ = 1; sym2__ <= NSB; ++sym2__) { - vars__.emplace_back( - rvalue(sd_abundance, "sd_abundance", - index_uni(sym2__), index_uni(sym1__))); - } - } - for (int sym1__ = 1; sym1__ <= NB_f; ++sym1__) { - for (int sym2__ = 1; sym2__ <= NB_s; ++sym2__) { - vars__.emplace_back( - rvalue(beta_prevalence, "beta_prevalence", - index_uni(sym2__), index_uni(sym1__))); - } - } - for (int sym1__ = 1; sym1__ <= beta_abundance_2dim__; ++sym1__) { - for (int sym2__ = 1; sym2__ <= NB_s; ++sym2__) { - vars__.emplace_back( - rvalue(beta_abundance, "beta_abundance", - index_uni(sym2__), index_uni(sym1__))); - } - } - } - if (logical_negation(emit_generated_quantities__)) { - return ; - } - } catch (const std::exception& e) { - stan::lang::rethrow_located(e, locations_array__[current_statement__]); - // Next line prevents compiler griping about no return - throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***"); - } - } // write_array_impl() - - template * = nullptr, - stan::require_vector_like_vt* = nullptr> - inline void transform_inits_impl(const stan::io::var_context& context__, - VecI& params_i__, VecVar& vars__, - std::ostream* pstream__ = nullptr) const { - using local_scalar_t__ = double; - vars__.clear(); - vars__.reserve(num_params_r__); - int current_statement__ = 0; - - try { - int pos__; - pos__ = std::numeric_limits::min(); - - pos__ = 1; - double global_scale_prevalence; - global_scale_prevalence = std::numeric_limits::quiet_NaN(); - - current_statement__ = 1; - global_scale_prevalence = context__.vals_r("global_scale_prevalence")[ - (1 - 1)]; - double global_scale_prevalence_free__; - global_scale_prevalence_free__ = std::numeric_limits::quiet_NaN(); - - - current_statement__ = 1; - global_scale_prevalence_free__ = stan::math::lb_free( - global_scale_prevalence, 0); - double global_scale_abundance; - global_scale_abundance = std::numeric_limits::quiet_NaN(); - - current_statement__ = 2; - global_scale_abundance = context__.vals_r("global_scale_abundance")[ - (1 - 1)]; - double global_scale_abundance_free__; - global_scale_abundance_free__ = std::numeric_limits::quiet_NaN(); - - - current_statement__ = 2; - global_scale_abundance_free__ = stan::math::lb_free( - global_scale_abundance, 0); - Eigen::Matrix sd_prevalence_norm; - sd_prevalence_norm = Eigen::Matrix(sd_prevalence_norm_1dim__); - stan::math::fill(sd_prevalence_norm, std::numeric_limits::quiet_NaN()); - - - { - std::vector sd_prevalence_norm_flat__; - current_statement__ = 3; - sd_prevalence_norm_flat__ = context__.vals_r("sd_prevalence_norm"); - current_statement__ = 3; - pos__ = 1; - current_statement__ = 3; - for (int sym1__ = 1; sym1__ <= sd_prevalence_norm_1dim__; ++sym1__) { - current_statement__ = 3; - assign(sd_prevalence_norm, sd_prevalence_norm_flat__[(pos__ - 1)], - "assigning variable sd_prevalence_norm", index_uni(sym1__)); - current_statement__ = 3; - pos__ = (pos__ + 1); - } - } - Eigen::Matrix sd_prevalence_norm_free__; - sd_prevalence_norm_free__ = Eigen::Matrix(sd_prevalence_norm_1dim__); - stan::math::fill(sd_prevalence_norm_free__, std::numeric_limits::quiet_NaN()); - - - current_statement__ = 3; - for (int sym1__ = 1; sym1__ <= sd_prevalence_norm_1dim__; ++sym1__) { - current_statement__ = 3; - assign(sd_prevalence_norm_free__, - stan::math::lb_free(sd_prevalence_norm[(sym1__ - 1)], 0), - "assigning variable sd_prevalence_norm_free__", index_uni(sym1__)); - } - Eigen::Matrix sd_abundance_norm; - sd_abundance_norm = Eigen::Matrix(sd_abundance_norm_1dim__); - stan::math::fill(sd_abundance_norm, std::numeric_limits::quiet_NaN()); - - - { - std::vector sd_abundance_norm_flat__; - current_statement__ = 4; - sd_abundance_norm_flat__ = context__.vals_r("sd_abundance_norm"); - current_statement__ = 4; - pos__ = 1; - current_statement__ = 4; - for (int sym1__ = 1; sym1__ <= sd_abundance_norm_1dim__; ++sym1__) { - current_statement__ = 4; - assign(sd_abundance_norm, sd_abundance_norm_flat__[(pos__ - 1)], - "assigning variable sd_abundance_norm", index_uni(sym1__)); - current_statement__ = 4; - pos__ = (pos__ + 1); - } - } - Eigen::Matrix sd_abundance_norm_free__; - sd_abundance_norm_free__ = Eigen::Matrix(sd_abundance_norm_1dim__); - stan::math::fill(sd_abundance_norm_free__, std::numeric_limits::quiet_NaN()); - - - current_statement__ = 4; - for (int sym1__ = 1; sym1__ <= sd_abundance_norm_1dim__; ++sym1__) { - current_statement__ = 4; - assign(sd_abundance_norm_free__, - stan::math::lb_free(sd_abundance_norm[(sym1__ - 1)], 0), - "assigning variable sd_abundance_norm_free__", index_uni(sym1__)); - } - Eigen::Matrix prevalence; - prevalence = Eigen::Matrix(NB_s, NB_f); - stan::math::fill(prevalence, std::numeric_limits::quiet_NaN()); - - { - std::vector prevalence_flat__; - current_statement__ = 5; - prevalence_flat__ = context__.vals_r("prevalence"); - current_statement__ = 5; - pos__ = 1; - current_statement__ = 5; - for (int sym1__ = 1; sym1__ <= NB_f; ++sym1__) { - current_statement__ = 5; - for (int sym2__ = 1; sym2__ <= NB_s; ++sym2__) { - current_statement__ = 5; - assign(prevalence, prevalence_flat__[(pos__ - 1)], - "assigning variable prevalence", index_uni(sym2__), - index_uni(sym1__)); - current_statement__ = 5; - pos__ = (pos__ + 1); - } - } - } - Eigen::Matrix abundance; - abundance = Eigen::Matrix(NB_s, abundance_2dim__); - stan::math::fill(abundance, std::numeric_limits::quiet_NaN()); - - { - std::vector abundance_flat__; - current_statement__ = 6; - abundance_flat__ = context__.vals_r("abundance"); - current_statement__ = 6; - pos__ = 1; - current_statement__ = 6; - for (int sym1__ = 1; sym1__ <= abundance_2dim__; ++sym1__) { - current_statement__ = 6; - for (int sym2__ = 1; sym2__ <= NB_s; ++sym2__) { - current_statement__ = 6; - assign(abundance, abundance_flat__[(pos__ - 1)], - "assigning variable abundance", index_uni(sym2__), - index_uni(sym1__)); - current_statement__ = 6; - pos__ = (pos__ + 1); - } - } - } - Eigen::Matrix multinomial_nuisance; - multinomial_nuisance = Eigen::Matrix(NS); - stan::math::fill(multinomial_nuisance, std::numeric_limits::quiet_NaN()); - - - { - std::vector multinomial_nuisance_flat__; - current_statement__ = 7; - multinomial_nuisance_flat__ = context__.vals_r("multinomial_nuisance"); - current_statement__ = 7; - pos__ = 1; - current_statement__ = 7; - for (int sym1__ = 1; sym1__ <= NS; ++sym1__) { - current_statement__ = 7; - assign(multinomial_nuisance, - multinomial_nuisance_flat__[(pos__ - 1)], - "assigning variable multinomial_nuisance", index_uni(sym1__)); - current_statement__ = 7; - pos__ = (pos__ + 1); - } - } - vars__.emplace_back(global_scale_prevalence_free__); - vars__.emplace_back(global_scale_abundance_free__); - for (int sym1__ = 1; sym1__ <= sd_prevalence_norm_1dim__; ++sym1__) { - vars__.emplace_back(sd_prevalence_norm_free__[(sym1__ - 1)]); - } - for (int sym1__ = 1; sym1__ <= sd_abundance_norm_1dim__; ++sym1__) { - vars__.emplace_back(sd_abundance_norm_free__[(sym1__ - 1)]); - } - for (int sym1__ = 1; sym1__ <= NB_f; ++sym1__) { - for (int sym2__ = 1; sym2__ <= NB_s; ++sym2__) { - vars__.emplace_back( - rvalue(prevalence, "prevalence", - index_uni(sym2__), index_uni(sym1__))); - } - } - for (int sym1__ = 1; sym1__ <= abundance_2dim__; ++sym1__) { - for (int sym2__ = 1; sym2__ <= NB_s; ++sym2__) { - vars__.emplace_back( - rvalue(abundance, "abundance", - index_uni(sym2__), index_uni(sym1__))); - } - } - for (int sym1__ = 1; sym1__ <= NS; ++sym1__) { - vars__.emplace_back(multinomial_nuisance[(sym1__ - 1)]); - } - } catch (const std::exception& e) { - stan::lang::rethrow_located(e, locations_array__[current_statement__]); - // Next line prevents compiler griping about no return - throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***"); - } - } // transform_inits_impl() - - inline void get_param_names(std::vector& names__) const { - - names__ = std::vector{"global_scale_prevalence", - "global_scale_abundance", "sd_prevalence_norm", "sd_abundance_norm", - "prevalence", "abundance", "multinomial_nuisance", "sd_prevalence", - "sd_abundance", "beta_prevalence", "beta_abundance"}; - - } // get_param_names() - - inline void get_dims(std::vector>& dimss__) const { - - dimss__ = std::vector>{std::vector{}, - std::vector{}, - std::vector{static_cast(sd_prevalence_norm_1dim__)}, - std::vector{static_cast(sd_abundance_norm_1dim__)}, - std::vector{static_cast(NB_s), - static_cast(NB_f)}, - std::vector{static_cast(NB_s), - static_cast(abundance_2dim__)}, - std::vector{static_cast(NS)}, - std::vector{static_cast(NSB), static_cast(NFB)}, - std::vector{static_cast(NSB), - static_cast(sd_abundance_2dim__)}, - std::vector{static_cast(NB_s), - static_cast(NB_f)}, - std::vector{static_cast(NB_s), - static_cast(beta_abundance_2dim__)}}; - - } // get_dims() - - inline void constrained_param_names( - std::vector& param_names__, - bool emit_transformed_parameters__ = true, - bool emit_generated_quantities__ = true) const - final { - - param_names__.emplace_back(std::string() + "global_scale_prevalence"); - param_names__.emplace_back(std::string() + "global_scale_abundance"); - for (int sym1__ = 1; sym1__ <= sd_prevalence_norm_1dim__; ++sym1__) { - { - param_names__.emplace_back(std::string() + "sd_prevalence_norm" + '.' + std::to_string(sym1__)); - } - } - for (int sym1__ = 1; sym1__ <= sd_abundance_norm_1dim__; ++sym1__) { - { - param_names__.emplace_back(std::string() + "sd_abundance_norm" + '.' + std::to_string(sym1__)); - } - } - for (int sym1__ = 1; sym1__ <= NB_f; ++sym1__) { - { - for (int sym2__ = 1; sym2__ <= NB_s; ++sym2__) { - { - param_names__.emplace_back(std::string() + "prevalence" + '.' + std::to_string(sym2__) + '.' + std::to_string(sym1__)); - } - } - } - } - for (int sym1__ = 1; sym1__ <= abundance_2dim__; ++sym1__) { - { - for (int sym2__ = 1; sym2__ <= NB_s; ++sym2__) { - { - param_names__.emplace_back(std::string() + "abundance" + '.' + std::to_string(sym2__) + '.' + std::to_string(sym1__)); - } - } - } - } - for (int sym1__ = 1; sym1__ <= NS; ++sym1__) { - { - param_names__.emplace_back(std::string() + "multinomial_nuisance" + '.' + std::to_string(sym1__)); - } - } - if (emit_transformed_parameters__) { - for (int sym1__ = 1; sym1__ <= NFB; ++sym1__) { - { - for (int sym2__ = 1; sym2__ <= NSB; ++sym2__) { - { - param_names__.emplace_back(std::string() + "sd_prevalence" + '.' + std::to_string(sym2__) + '.' + std::to_string(sym1__)); - } - } - } - } - for (int sym1__ = 1; sym1__ <= sd_abundance_2dim__; ++sym1__) { - { - for (int sym2__ = 1; sym2__ <= NSB; ++sym2__) { - { - param_names__.emplace_back(std::string() + "sd_abundance" + '.' + std::to_string(sym2__) + '.' + std::to_string(sym1__)); - } - } - } - } - for (int sym1__ = 1; sym1__ <= NB_f; ++sym1__) { - { - for (int sym2__ = 1; sym2__ <= NB_s; ++sym2__) { - { - param_names__.emplace_back(std::string() + "beta_prevalence" + '.' + std::to_string(sym2__) + '.' + std::to_string(sym1__)); - } - } - } - } - for (int sym1__ = 1; sym1__ <= beta_abundance_2dim__; ++sym1__) { - { - for (int sym2__ = 1; sym2__ <= NB_s; ++sym2__) { - { - param_names__.emplace_back(std::string() + "beta_abundance" + '.' + std::to_string(sym2__) + '.' + std::to_string(sym1__)); - } - } - } - } - } - - if (emit_generated_quantities__) { - - } - - } // constrained_param_names() - - inline void unconstrained_param_names( - std::vector& param_names__, - bool emit_transformed_parameters__ = true, - bool emit_generated_quantities__ = true) const - final { - - param_names__.emplace_back(std::string() + "global_scale_prevalence"); - param_names__.emplace_back(std::string() + "global_scale_abundance"); - for (int sym1__ = 1; sym1__ <= sd_prevalence_norm_1dim__; ++sym1__) { - { - param_names__.emplace_back(std::string() + "sd_prevalence_norm" + '.' + std::to_string(sym1__)); - } - } - for (int sym1__ = 1; sym1__ <= sd_abundance_norm_1dim__; ++sym1__) { - { - param_names__.emplace_back(std::string() + "sd_abundance_norm" + '.' + std::to_string(sym1__)); - } - } - for (int sym1__ = 1; sym1__ <= NB_f; ++sym1__) { - { - for (int sym2__ = 1; sym2__ <= NB_s; ++sym2__) { - { - param_names__.emplace_back(std::string() + "prevalence" + '.' + std::to_string(sym2__) + '.' + std::to_string(sym1__)); - } - } - } - } - for (int sym1__ = 1; sym1__ <= abundance_2dim__; ++sym1__) { - { - for (int sym2__ = 1; sym2__ <= NB_s; ++sym2__) { - { - param_names__.emplace_back(std::string() + "abundance" + '.' + std::to_string(sym2__) + '.' + std::to_string(sym1__)); - } - } - } - } - for (int sym1__ = 1; sym1__ <= NS; ++sym1__) { - { - param_names__.emplace_back(std::string() + "multinomial_nuisance" + '.' + std::to_string(sym1__)); - } - } - if (emit_transformed_parameters__) { - for (int sym1__ = 1; sym1__ <= NFB; ++sym1__) { - { - for (int sym2__ = 1; sym2__ <= NSB; ++sym2__) { - { - param_names__.emplace_back(std::string() + "sd_prevalence" + '.' + std::to_string(sym2__) + '.' + std::to_string(sym1__)); - } - } - } - } - for (int sym1__ = 1; sym1__ <= sd_abundance_2dim__; ++sym1__) { - { - for (int sym2__ = 1; sym2__ <= NSB; ++sym2__) { - { - param_names__.emplace_back(std::string() + "sd_abundance" + '.' + std::to_string(sym2__) + '.' + std::to_string(sym1__)); - } - } - } - } - for (int sym1__ = 1; sym1__ <= NB_f; ++sym1__) { - { - for (int sym2__ = 1; sym2__ <= NB_s; ++sym2__) { - { - param_names__.emplace_back(std::string() + "beta_prevalence" + '.' + std::to_string(sym2__) + '.' + std::to_string(sym1__)); - } - } - } - } - for (int sym1__ = 1; sym1__ <= beta_abundance_2dim__; ++sym1__) { - { - for (int sym2__ = 1; sym2__ <= NB_s; ++sym2__) { - { - param_names__.emplace_back(std::string() + "beta_abundance" + '.' + std::to_string(sym2__) + '.' + std::to_string(sym1__)); - } - } - } - } - } - - if (emit_generated_quantities__) { - - } - - } // unconstrained_param_names() - - inline std::string get_constrained_sizedtypes() const { - - return std::string("[{\"name\":\"global_scale_prevalence\",\"type\":{\"name\":\"real\"},\"block\":\"parameters\"},{\"name\":\"global_scale_abundance\",\"type\":{\"name\":\"real\"},\"block\":\"parameters\"},{\"name\":\"sd_prevalence_norm\",\"type\":{\"name\":\"vector\",\"length\":" + std::to_string(sd_prevalence_norm_1dim__) + "},\"block\":\"parameters\"},{\"name\":\"sd_abundance_norm\",\"type\":{\"name\":\"vector\",\"length\":" + std::to_string(sd_abundance_norm_1dim__) + "},\"block\":\"parameters\"},{\"name\":\"prevalence\",\"type\":{\"name\":\"matrix\",\"rows\":" + std::to_string(NB_s) + ",\"cols\":" + std::to_string(NB_f) + "},\"block\":\"parameters\"},{\"name\":\"abundance\",\"type\":{\"name\":\"matrix\",\"rows\":" + std::to_string(NB_s) + ",\"cols\":" + std::to_string(abundance_2dim__) + "},\"block\":\"parameters\"},{\"name\":\"multinomial_nuisance\",\"type\":{\"name\":\"vector\",\"length\":" + std::to_string(NS) + "},\"block\":\"parameters\"},{\"name\":\"sd_prevalence\",\"type\":{\"name\":\"matrix\",\"rows\":" + std::to_string(NSB) + ",\"cols\":" + std::to_string(NFB) + "},\"block\":\"transformed_parameters\"},{\"name\":\"sd_abundance\",\"type\":{\"name\":\"matrix\",\"rows\":" + std::to_string(NSB) + ",\"cols\":" + std::to_string(sd_abundance_2dim__) + "},\"block\":\"transformed_parameters\"},{\"name\":\"beta_prevalence\",\"type\":{\"name\":\"matrix\",\"rows\":" + std::to_string(NB_s) + ",\"cols\":" + std::to_string(NB_f) + "},\"block\":\"transformed_parameters\"},{\"name\":\"beta_abundance\",\"type\":{\"name\":\"matrix\",\"rows\":" + std::to_string(NB_s) + ",\"cols\":" + std::to_string(beta_abundance_2dim__) + "},\"block\":\"transformed_parameters\"}]"); - - } // get_constrained_sizedtypes() - - inline std::string get_unconstrained_sizedtypes() const { - - return std::string("[{\"name\":\"global_scale_prevalence\",\"type\":{\"name\":\"real\"},\"block\":\"parameters\"},{\"name\":\"global_scale_abundance\",\"type\":{\"name\":\"real\"},\"block\":\"parameters\"},{\"name\":\"sd_prevalence_norm\",\"type\":{\"name\":\"vector\",\"length\":" + std::to_string(sd_prevalence_norm_1dim__) + "},\"block\":\"parameters\"},{\"name\":\"sd_abundance_norm\",\"type\":{\"name\":\"vector\",\"length\":" + std::to_string(sd_abundance_norm_1dim__) + "},\"block\":\"parameters\"},{\"name\":\"prevalence\",\"type\":{\"name\":\"matrix\",\"rows\":" + std::to_string(NB_s) + ",\"cols\":" + std::to_string(NB_f) + "},\"block\":\"parameters\"},{\"name\":\"abundance\",\"type\":{\"name\":\"matrix\",\"rows\":" + std::to_string(NB_s) + ",\"cols\":" + std::to_string(abundance_2dim__) + "},\"block\":\"parameters\"},{\"name\":\"multinomial_nuisance\",\"type\":{\"name\":\"vector\",\"length\":" + std::to_string(NS) + "},\"block\":\"parameters\"},{\"name\":\"sd_prevalence\",\"type\":{\"name\":\"matrix\",\"rows\":" + std::to_string(NSB) + ",\"cols\":" + std::to_string(NFB) + "},\"block\":\"transformed_parameters\"},{\"name\":\"sd_abundance\",\"type\":{\"name\":\"matrix\",\"rows\":" + std::to_string(NSB) + ",\"cols\":" + std::to_string(sd_abundance_2dim__) + "},\"block\":\"transformed_parameters\"},{\"name\":\"beta_prevalence\",\"type\":{\"name\":\"matrix\",\"rows\":" + std::to_string(NB_s) + ",\"cols\":" + std::to_string(NB_f) + "},\"block\":\"transformed_parameters\"},{\"name\":\"beta_abundance\",\"type\":{\"name\":\"matrix\",\"rows\":" + std::to_string(NB_s) + ",\"cols\":" + std::to_string(beta_abundance_2dim__) + "},\"block\":\"transformed_parameters\"}]"); - - } // get_unconstrained_sizedtypes() - - - // Begin method overload boilerplate - template - inline void write_array(RNG& base_rng, - Eigen::Matrix& params_r, - Eigen::Matrix& vars, - const bool emit_transformed_parameters = true, - const bool emit_generated_quantities = true, - std::ostream* pstream = nullptr) const { - std::vector vars_vec; - vars_vec.reserve(vars.size()); - std::vector params_i; - write_array_impl(base_rng, params_r, params_i, vars_vec, - emit_transformed_parameters, emit_generated_quantities, pstream); - vars = Eigen::Map>( - vars_vec.data(), vars_vec.size()); - } - - template - inline void write_array(RNG& base_rng, std::vector& params_r, - std::vector& params_i, - std::vector& vars, - bool emit_transformed_parameters = true, - bool emit_generated_quantities = true, - std::ostream* pstream = nullptr) const { - write_array_impl(base_rng, params_r, params_i, vars, - emit_transformed_parameters, emit_generated_quantities, pstream); - } - - template - inline T_ log_prob(Eigen::Matrix& params_r, - std::ostream* pstream = nullptr) const { - Eigen::Matrix params_i; - return log_prob_impl(params_r, params_i, pstream); - } - - template - inline T__ log_prob(std::vector& params_r, - std::vector& params_i, - std::ostream* pstream = nullptr) const { - return log_prob_impl(params_r, params_i, pstream); - } - - - inline void transform_inits(const stan::io::var_context& context, - Eigen::Matrix& params_r, - std::ostream* pstream = nullptr) const final { - std::vector params_r_vec; - params_r_vec.reserve(params_r.size()); - std::vector params_i; - transform_inits_impl(context, params_i, params_r_vec, pstream); - params_r = Eigen::Map>( - params_r_vec.data(), params_r_vec.size()); - } - inline void transform_inits(const stan::io::var_context& context, - std::vector& params_i, - std::vector& vars, - std::ostream* pstream = nullptr) const final { - transform_inits_impl(context, params_i, vars, pstream); - } - -}; -} -using stan_model = zip_glm_model_namespace::zip_glm_model; - -#ifndef USING_R - -// Boilerplate -stan::model::model_base& new_model( - stan::io::var_context& data_context, - unsigned int seed, - std::ostream* msg_stream) { - stan_model* m = new stan_model(data_context, seed, msg_stream); - return *m; -} - -stan::math::profile_map& get_stan_profile_data() { - return zip_glm_model_namespace::profiles__; -} - -#endif - - From 0037bd52b94ffd0065f44b7981579d7f6f85d46f Mon Sep 17 00:00:00 2001 From: Ryan McMinds Date: Mon, 15 Nov 2021 23:04:42 -0500 Subject: [PATCH 12/13] dada2 template --- microbiomes/qc_16S/02_dada2.r | 15 +++------------ 1 file changed, 3 insertions(+), 12 deletions(-) diff --git a/microbiomes/qc_16S/02_dada2.r b/microbiomes/qc_16S/02_dada2.r index 9243895..d6e6b79 100644 --- a/microbiomes/qc_16S/02_dada2.r +++ b/microbiomes/qc_16S/02_dada2.r @@ -1,12 +1,3 @@ -#!/bin/bash -#SBATCH --job-name=02_dada2 -#SBATCH --partition=rra -#SBATCH --qos=rra -#SBATCH --mail-user=salexander4@usf.edu -#SBATCH --mail-type=END,FAIL -#SBATCH --output=logs/02_dada2.out -#SBATCH --ntasks=1 -#SBATCH --nodes=1 -#SBATCH --cpus-per-task=1 -#SBATCH --mem=20 -#SBATCH --time=01:00:00 +library(dada2) + +#do dada2 stuff From 7ae900597a9c005c00aefbf52c4bc173da9e02ee Mon Sep 17 00:00:00 2001 From: Ryan McMinds Date: Mon, 15 Nov 2021 23:12:58 -0500 Subject: [PATCH 13/13] more general name --- microbiomes/{qc_16S => qc_amplicons}/01_init_QC.sh | 0 microbiomes/{qc_16S => qc_amplicons}/02_dada2.r | 0 microbiomes/{qc_16S => qc_amplicons}/02_dada2.sh | 0 microbiomes/{qc_16S => qc_amplicons}/README | 0 microbiomes/{qc_16S => qc_amplicons}/local.env.txt | 0 5 files changed, 0 insertions(+), 0 deletions(-) rename microbiomes/{qc_16S => qc_amplicons}/01_init_QC.sh (100%) rename microbiomes/{qc_16S => qc_amplicons}/02_dada2.r (100%) rename microbiomes/{qc_16S => qc_amplicons}/02_dada2.sh (100%) rename microbiomes/{qc_16S => qc_amplicons}/README (100%) rename microbiomes/{qc_16S => qc_amplicons}/local.env.txt (100%) diff --git a/microbiomes/qc_16S/01_init_QC.sh b/microbiomes/qc_amplicons/01_init_QC.sh similarity index 100% rename from microbiomes/qc_16S/01_init_QC.sh rename to microbiomes/qc_amplicons/01_init_QC.sh diff --git a/microbiomes/qc_16S/02_dada2.r b/microbiomes/qc_amplicons/02_dada2.r similarity index 100% rename from microbiomes/qc_16S/02_dada2.r rename to microbiomes/qc_amplicons/02_dada2.r diff --git a/microbiomes/qc_16S/02_dada2.sh b/microbiomes/qc_amplicons/02_dada2.sh similarity index 100% rename from microbiomes/qc_16S/02_dada2.sh rename to microbiomes/qc_amplicons/02_dada2.sh diff --git a/microbiomes/qc_16S/README b/microbiomes/qc_amplicons/README similarity index 100% rename from microbiomes/qc_16S/README rename to microbiomes/qc_amplicons/README diff --git a/microbiomes/qc_16S/local.env.txt b/microbiomes/qc_amplicons/local.env.txt similarity index 100% rename from microbiomes/qc_16S/local.env.txt rename to microbiomes/qc_amplicons/local.env.txt