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^doc$ | ||
^Meta$ | ||
^.*\.Rproj$ | ||
^\.Rproj\.user$ | ||
^\.travis\.yml$ | ||
^gurobi\.log$ | ||
^revdep$ | ||
^docs$ | ||
^appveyor\.yml$ | ||
.gitkeep | ||
^Makefile$ | ||
cran-comments.md | ||
CRAN-RELEASE | ||
_pkgdown.yml | ||
check.log | ||
test.log | ||
gp.log | ||
spell.log | ||
README.Rmd | ||
inst/extdata/dictionary.txt | ||
^_pkgdown\.yml$ | ||
^CONTRIBUTING\.md$ | ||
^CONTRIBUTING\.Rmd$ | ||
src/amalgamation/dmlc-minimum0.o | ||
src/amalgamation/xgboost-all0.o | ||
src/rabit/src/c_api.o | ||
src/rabit/src/engine_empty.o |
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Meta | ||
doc | ||
# C++ compiled files | ||
*.o | ||
*.so | ||
*.dll | ||
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# R profile files | ||
*.Rproj.user | ||
*.Rhistory | ||
.Rproj.user | ||
# log files | ||
gurobi.log | ||
test.log | ||
check.log | ||
spell.log | ||
gp.log | ||
# system files | ||
.directory | ||
# do not ignore the following files | ||
!.gitkeep | ||
!*/ | ||
!inst/doc/*.html | ||
!inst/doc/*.Rmd | ||
!inst/doc/.gitkeep | ||
# devtools files | ||
doc/* | ||
Meta/* | ||
.build.timestamp |
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Package: surveyvoi | ||
Type: Package | ||
Version: 0.0.1 | ||
Title: Survey Value of Information | ||
Description: Develop candidate survey schemes for sampling biodiversity, and | ||
and evaluate their return on investment using value of | ||
information analyses. | ||
Authors@R: c(person(c('Jeffrey', 'O'), 'Hanson', | ||
email='[email protected]', role = c('aut', 'cre')), | ||
person(c('Joseph'), 'Bennett', | ||
email='[email protected]', role = c('aut'))) | ||
Imports: | ||
utils, | ||
methods, | ||
stats, | ||
Matrix, | ||
parallel, | ||
magrittr (>= 1.5), | ||
assertthat (>= 0.2.0), | ||
tibble (>= 2.0.0), | ||
xgboost (>= 1.0.0.1), | ||
rBayesianOptimization (>= 1.1.0), | ||
Metrics (>= 0.1.4), | ||
plyr (>= 1.8.4), | ||
withr (>= 2.1.2), | ||
tibble (>= 2.1.3), | ||
scales (>= 1.0.0), | ||
doParallel (>= 1.0.15), | ||
RandomFields (>= 3.3.7), | ||
vegan (>= 2.5-6), | ||
RcppAlgos (>= 2.3.6) | ||
Suggests: | ||
testthat (>= 2.0.0), | ||
knitr (>= 1.20), | ||
roxygen2 (>= 6.1.0), | ||
rmarkdown (>= 1.10), | ||
gurobi (>= 8.1.0), | ||
tidyr (>= 1.0.0), | ||
ggplot2 (>= 3.2.0), | ||
gridExtra (>= 2.3), | ||
viridis (>= 0.5.1) | ||
Depends: | ||
R (>= 3.4.0), | ||
sf (>= 0.8.0) | ||
LinkingTo: | ||
Rcpp (>= 0.12.19), | ||
RcppEigen (>= 0.3.3.7.0), | ||
RcppProgress (>= 0.4.1), | ||
RcppNumerical (>= 0.3-3) | ||
License: GPL-3 | ||
LazyData: true | ||
SystemRequirements: | ||
C++11, | ||
gurobi (>= 8.1.0), | ||
gmp (>= 4.2.3) | ||
URL: https://github.com/jeffreyhanson/surveyroi | ||
BugReports: https://github.com/jeffreyhanson/surveyroi/issues | ||
VignetteBuilder: knitr | ||
RoxygenNote: 6.1.1 | ||
Collate: | ||
'RcppExports.R' | ||
'internal.R' | ||
'env_div_survey_scheme.R' | ||
'feasible_survey_schemes.R' | ||
'tune_occupancy_models.R' | ||
'fit_occupancy_models.R' | ||
'geo_cov_survey_scheme.R' | ||
'package.R' | ||
'relative_site_richness_scores.R' | ||
'relative_site_uncertainty_scores.R' | ||
'simulate_feature_data.R' | ||
'simulate_site_data.R' | ||
'weighted_survey_scheme.R' |
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all: initc data docs test check | ||
|
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initc: | ||
R --slave -e "Rcpp::compileAttributes()" | ||
R --slave -e "tools::package_native_routine_registration_skeleton('.', 'src/init.c', character_only = FALSE)" | ||
|
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docs: man readme vigns | ||
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readme: | ||
R --slave -e "rmarkdown::render('README.Rmd')" | ||
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man: | ||
R --slave -e "devtools::document()" | ||
|
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vigns: | ||
R --slave -e "devtools::build_vignettes(install = FALSE)" | ||
cp -R doc inst/ | ||
touch inst/doc/.gitkeep | ||
|
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purl_vigns: | ||
R --slave -e "lapply(dir('vignettes', '^.*\\\\.Rmd$$'), function(x) knitr::purl(file.path('vignettes', x), gsub('.Rmd', '.R', x, fixed = TRUE)))" | ||
|
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quicksite: | ||
R --slave -e "pkgdown::build_site(run_dont_run = TRUE, lazy = TRUE)" | ||
cp -R doc inst/ | ||
|
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site: | ||
R --slave -e "pkgdown::clean_site()" | ||
R --slave -e "pkgdown::build_site(run_dont_run = TRUE, lazy = TRUE)" | ||
cp -R doc inst/ | ||
|
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test: | ||
R --slave -e "devtools::test()" > test.log 2>&1 | ||
rm -f tests/testthat/Rplots.pdf | ||
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quickcheck: | ||
echo "\n===== R CMD CHECK =====\n" > check.log 2>&1 | ||
R --slave -e "devtools::check(build_args = '--no-build-vignettes', args = '--no-build-vignettes', run_dont_test = TRUE, vignettes = FALSE)" >> check.log 2>&1se | ||
cp -R doc inst/ | ||
touch inst/doc/.gitkeep | ||
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check: | ||
echo "\n===== R CMD CHECK =====\n" > check.log 2>&1 | ||
R --slave -e "devtools::check(build_args = '--no-build-vignettes', args = '--no-build-vignettes', run_dont_test = TRUE, vignettes = FALSE)" >> check.log 2>&1 | ||
cp -R doc inst/ | ||
touch inst/doc/.gitkeep | ||
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install: | ||
R --slave -e "devtools::install_local('../surveyroi', force = TRUE, upgrade = 'never')" | ||
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.PHONY: initc docs site test check checkwb build install man readme vigns site quicksite |
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# Generated by roxygen2: do not edit by hand | ||
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export(env_div_survey_scheme) | ||
export(feasible_survey_schemes) | ||
export(fit_occupancy_models) | ||
export(geo_cov_survey_scheme) | ||
export(relative_site_richness_scores) | ||
export(relative_site_uncertainty_scores) | ||
export(simulate_feature_data) | ||
export(simulate_site_data) | ||
export(tune_occupancy_models) | ||
export(weighted_survey_scheme) | ||
useDynLib(surveyvoi, .registration = TRUE) |
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# surveyvoi 0.0.1 | ||
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- Initial commit. |
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# Generated by using Rcpp::compileAttributes() -> do not edit by hand | ||
# Generator token: 10BE3573-1514-4C36-9D1C-5A225CD40393 | ||
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rcpp_approximate_expected_value_of_prioritization <- function(solution, pij, alpha, gamma, states) { | ||
.Call(`_surveyvoi_rcpp_approximate_expected_value_of_prioritization`, solution, pij, alpha, gamma, states) | ||
} | ||
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rcpp_appproximate_expected_value_of_management_decision_given_current_information <- function(pij, pu_costs, pu_locked_in, alpha, gamma, n_approx_obj_fun_points, budget, gap, n_approx_states) { | ||
.Call(`_surveyvoi_rcpp_appproximate_expected_value_of_management_decision_given_current_information`, pij, pu_costs, pu_locked_in, alpha, gamma, n_approx_obj_fun_points, budget, gap, n_approx_states) | ||
} | ||
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rcpp_approximate_expected_value_of_management_decision_given_perfect_information <- function(pij, pu_costs, pu_locked_in, alpha, gamma, n_approx_obj_fun_points, budget, gap, n_approx_states) { | ||
.Call(`_surveyvoi_rcpp_approximate_expected_value_of_management_decision_given_perfect_information`, pij, pu_costs, pu_locked_in, alpha, gamma, n_approx_obj_fun_points, budget, gap, n_approx_states) | ||
} | ||
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rcpp_expected_value_of_management_action <- function(solution, pij, alpha, gamma) { | ||
.Call(`_surveyvoi_rcpp_expected_value_of_management_action`, solution, pij, alpha, gamma) | ||
} | ||
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rcpp_expected_value_of_management_decision_given_current_information <- function(pij, pu_costs, pu_locked_in, alpha, gamma, n_approx_obj_fun_points, budget, gap) { | ||
.Call(`_surveyvoi_rcpp_expected_value_of_management_decision_given_current_information`, pij, pu_costs, pu_locked_in, alpha, gamma, n_approx_obj_fun_points, budget, gap) | ||
} | ||
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rcpp_expected_value_of_management_decision_given_perfect_information <- function(pij, pu_costs, pu_locked_in, alpha, gamma, n_approx_obj_fun_points, budget, gap) { | ||
.Call(`_surveyvoi_rcpp_expected_value_of_management_decision_given_perfect_information`, pij, pu_costs, pu_locked_in, alpha, gamma, n_approx_obj_fun_points, budget, gap) | ||
} | ||
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rcpp_feasible_actions_ilp_matrix <- function(x) { | ||
.Call(`_surveyvoi_rcpp_feasible_actions_ilp_matrix`, x) | ||
} | ||
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rcpp_pmedian_constraint_matrix <- function(x, costs) { | ||
.Call(`_surveyvoi_rcpp_pmedian_constraint_matrix`, x, costs) | ||
} | ||
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rcpp_prioritization <- function(rij, pu_costs, pu_locked_in, alpha, gamma, n_approx_obj_fun_points, budget, gap, file_path) { | ||
.Call(`_surveyvoi_rcpp_prioritization`, rij, pu_costs, pu_locked_in, alpha, gamma, n_approx_obj_fun_points, budget, gap, file_path) | ||
} | ||
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rcpp_total_probability_of_positive_result <- function(prior, sensitivity, specificity) { | ||
.Call(`_surveyvoi_rcpp_total_probability_of_positive_result`, prior, sensitivity, specificity) | ||
} | ||
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rcpp_total_probability_of_negative_result <- function(prior, sensitivity, specificity) { | ||
.Call(`_surveyvoi_rcpp_total_probability_of_negative_result`, prior, sensitivity, specificity) | ||
} | ||
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rcpp_probability_of_outcome <- function(oij, total_probability_of_survey_positive, total_probability_of_survey_negative, idx) { | ||
.Call(`_surveyvoi_rcpp_probability_of_outcome`, oij, total_probability_of_survey_positive, total_probability_of_survey_negative, idx) | ||
} | ||
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rcpp_probability_of_state <- function(sij, pij) { | ||
.Call(`_surveyvoi_rcpp_probability_of_state`, sij, pij) | ||
} | ||
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rcpp_nth_state_sparse <- function(n, matrix, idx) { | ||
.Call(`_surveyvoi_rcpp_nth_state_sparse`, n, matrix, idx) | ||
} | ||
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rcpp_nth_state <- function(n, matrix) { | ||
.Call(`_surveyvoi_rcpp_nth_state`, n, matrix) | ||
} | ||
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rcpp_n_states <- function(n) { | ||
.Call(`_surveyvoi_rcpp_n_states`, n) | ||
} | ||
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rcpp_which_state <- function(matrix, idx) { | ||
.Call(`_surveyvoi_rcpp_which_state`, matrix, idx) | ||
} | ||
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rcpp_fit_xgboost_models_and_assess_performance <- function(rij, wij, pu_env_data_raw, survey_features, xgb_parameters, n_xgb_nrounds, xgb_train_folds, xgb_test_folds) { | ||
.Call(`_surveyvoi_rcpp_fit_xgboost_models_and_assess_performance`, rij, wij, pu_env_data_raw, survey_features, xgb_parameters, n_xgb_nrounds, xgb_train_folds, xgb_test_folds) | ||
} | ||
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rcpp_xgboost <- function(y, train_x_raw, predict_x_raw, xgb_parameters, n_xgb_nrounds) { | ||
.Call(`_surveyvoi_rcpp_xgboost`, y, train_x_raw, predict_x_raw, xgb_parameters, n_xgb_nrounds) | ||
} | ||
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