curatinator_latest.md

RSS POSTS:

• GLMNet in Python: Generalized Linear Models
• India
• Bike accidents
• Signature.py: Award-Winning Application at the 2024 Shiny Contest
• You’ve Been Waiting for Native Mobile Apps with R? The Wait Is Over.
• Ordinal State Transition Models as a Unifying Risk Prediction Framework
• RcppArmadillo 14.2.0-1 on CRAN: New Upstream Minor
• Crafting Custom and Reproducible PDF Reports with Quarto and Typst in R workshop
• Using LLM agents to review tutorials ‘in character’ as learners
• Understanding and extending the methods of comparing spatial patterns in raster data
• Vendée Globe 2024
• A Beginner’s Guide to VI and VIM: Mastering Text Editing in Linux
• How to Compare Two Columns in R: A Comprehensive Guide with Examples
• Mastering Conditional Logic and Small Change Operators in C
• How to Combine Vectors in R: A Comprehensive Guide with Examples
• How to Compare Two Vectors in base R With Examples
• 3MW (5 Lessons For Getting Better At Programming)
• So Your Team Needs Help with R Shiny - What are Your Options?
• How to Make Data Validation Easy in R/Shiny with pointblank
• What happens if we don't write good tests
• Data Career Insights: The value of curiosity and how to cultivate a curious mind
• 100 Bushels of Corn, Revisited

CRANberries UPDATED:

• {nlmixr2est} 3.0.2: Nonlinear Mixed Effects Models in Population PK/PD, Estimation Routines - diffify
• {photobiologyInOut} 0.4.29: Read Spectral and Logged Data from Foreign Files - diffify
• {toxEval} 1.4.0: Exploring Biological Relevance of Environmental Chemistry Observations - diffify
• {slendr} 1.0.0: A Simulation Framework for Spatiotemporal Population Genetics - diffify
• {respirometry} 2.0.1: Tools for Conducting and Analyzing Respirometry Experiments - diffify
• {mlr3tuningspaces} 0.5.2: Search Spaces for 'mlr3' - diffify
• {Rveg} 0.1.6: Digitization of Phytosociological Relevés - diffify
• {NGLVieweR} 1.4.0: Interactive 3D Visualization of Molecular Structures - diffify
• {bayesammi} 0.3.0: Bayesian Estimation of the Additive Main Effects and Multiplicative Interaction Model - diffify
• {sleev} 1.0.5: Semiparametric Likelihood Estimation with Errors in Variables - diffify
• {MSEtool} 3.7.3: Management Strategy Evaluation Toolkit - diffify
• {fastbeta} 0.3.1: Fast Approximation of Time-Varying Infectious Disease Transmission Rates - diffify
• {easyclimate} 0.2.2: Easy Access to High-Resolution Daily Climate Data for Europe - diffify
• {OlinkAnalyze} 4.0.2: Facilitate Analysis of Proteomic Data from Olink - diffify
• {LTFHPlus} 2.1.2: Implementation of LT-FH++ - diffify
• {liver} 1.18: "Eating the Liver of Data Science" - diffify
• {sparta} 1.0.1: Sparse Tables - diffify
• {progressr} 0.15.1: An Inclusive, Unifying API for Progress Updates - diffify
• {osmextract} 0.5.2: Download and Import Open Street Map Data Extracts - diffify
• {maestro} 0.4.1: Orchestration of Data Pipelines - diffify
• {isopleuros} 1.3.0: Ternary Plots - diffify
• {hyperbolicDEA} 1.0.2: Hyperbolic DEA Estimation - diffify
• {dad} 4.1.5: Three-Way / Multigroup Data Analysis Through Densities - diffify
• {AID} 3.0: Box-Cox Power Transformation - diffify
• {SVMMaj} 0.2.9.3: Implementation of the SVM-Maj Algorithm - diffify
• {solartime} 0.0.4: Utilities Dealing with Solar Time Such as Sun Position and Time of Sunrise - diffify
• {quantreg} 5.99.1: Quantile Regression - diffify
• {omopgenerics} 0.4.0: Methods and Classes for the OMOP Common Data Model - diffify
• {MVar.pt} 2.2.5: Analise multivariada (brazilian portuguese) - diffify
• {MVar} 2.2.5: Multivariate Analysis - diffify
• {mpathr} 1.0.2: Easily Handling Data from the ‘m-Path’ Platform - diffify
• {ggblanket} 11.0.0: Simplify 'ggplot2' Visualisation - diffify
• {cvasi} 1.3.1: Calibration, Validation, and Simulation of TKTD Models - diffify
• {care4cmodel} 1.0.3: Carbon-Related Assessment of Silvicultural Concepts - diffify
• {REDCapCAST} 24.11.2: REDCap Metadata Casting and Castellated Data Handling - diffify
• {neutrostat} 0.0.2: Neutrosophic Statistics - diffify
• {DrugExposureDiagnostics} 1.0.10: Diagnostics for OMOP Common Data Model Drug Records - diffify
• {dverse} 0.1.0: Document a Universe of Packages - diffify
• {AOboot} 0.1.1: Bootstrapping in Different One-Way and Two-Way ANOVA - diffify
• {maicplus} 0.1.1: Matching Adjusted Indirect Comparison - diffify
• {geofi} 1.0.17: Access Finnish Geospatial Data - diffify
• {bamdit} 3.4.3: Bayesian Meta-Analysis of Diagnostic Test Data - diffify
• {incidence2} 2.6.0: Compute, Handle and Plot Incidence of Dated Events - diffify
• {vDiveR} 2.0.1: Visualization of Viral Protein Sequence Diversity Dynamics - diffify
• {flipscores} 1.3.1: Robust Score Testing in GLMs, by Sign-Flip Contributions - diffify
• {networkDynamic} 0.11.5: Dynamic Extensions for Network Objects - diffify
• {jointVIP} 1.0.0: Prioritize Variables with Joint Variable Importance Plot in Observational Study Design - diffify
• {AllelicSeries} 0.1.1.1: Allelic Series Test - diffify
• {tidyvpc} 1.5.2: VPC Percentiles and Prediction Intervals - diffify
• {fragility} 1.6: Assessing and Visualizing Fragility of Clinical Results with Binary Outcomes - diffify
• {rxode2ll} 2.0.12: Log-Likelihood Functions for 'rxode2' - diffify
• {RLoptimal} 1.1.1: Optimal Adaptive Allocation Using Deep Reinforcement Learning - diffify
• {rTwig} 1.3.0: Realistic Quantitative Structure Models - diffify
• {proteomicsCV} 0.4.0: Calculates the Percentage CV for Mass Spectrometry-Based Proteomics Data - diffify
• {mlr3mbo} 0.2.8: Flexible Bayesian Optimization - diffify
• {DRIP} 2.3: Discontinuous Regression and Image Processing - diffify
• {bindr} 0.1.2: Parametrized Active Bindings - diffify
• {ARDECO} 2.1.0: Annual Regional Database of the European Commission (ARDECO) - diffify
• {ILSAmerge} 1.2.5: Merge and Download International Large-Scale Assessments (ILSA) Data - diffify
• {padr} 0.6.3: Quickly Get Datetime Data Ready for Analysis - diffify
• {inlabru} 2.12.0: Bayesian Latent Gaussian Modelling using INLA and Extensions - diffify
• {duckdb} 1.1.3: DBI Package for the DuckDB Database Management System - diffify
• {divDyn} 0.8.3: Diversity Dynamics using Fossil Sampling Data - diffify
• {templateICAr} 0.9.1: Estimate Brain Networks and Connectivity with ICA and Empirical Priors - diffify
• {dataCompare} 1.0.4: A 'shiny' App to Compare Two Data Frames - diffify
• {wrGraph} 1.3.8: Graphics in the Context of Analyzing High-Throughput Data - diffify
• {redatamx} 1.0.1: R Interface to 'Redatam' Library - diffify
• {RBesT} 1.7-4: R Bayesian Evidence Synthesis Tools - diffify
• {lehdr} 1.1.4: Grab Longitudinal Employer-Household Dynamics (LEHD) Flat Files - diffify
• {StratPal} 0.3.0: Stratigraphic Paleobiology Modeling Pipelines - diffify
• {ceterisParibus} 0.6: Ceteris Paribus Profiles - diffify
• {rgl2gltf} 1.0.7: Read and Write '.gltf' and '.glb' Files - diffify
• {powertools} 0.1.2: Power and Sample Size Tools - diffify
• {packcircles} 0.3.7: Circle Packing - diffify
• {aLBI} 0.1.7: Estimating Length-Based Indicators for Fish Stock - diffify
• {synMicrodata} 2.1.0: Synthetic Microdata Generator - diffify
• {knfi} 1.0.1: Analysis of Korean National Forest Inventory Database - diffify
• {minesweeper} 1.0.1: Play Minesweeper - diffify
• {DEPONS2R} 1.2.4: Read, Plot and Analyse Output from the DEPONS Model - diffify
• {lmls} 0.1.1: Gaussian Location-Scale Regression - diffify
• {LCCR} 2.0: Latent Class Capture-Recapture Models - diffify
• {AdverseEvents} 0.0.4: 'shiny' Application for Adverse Event Analysis of 'OnCore' Data - diffify
• {suntools} 1.0.1: Calculate Sun Position, Sunrise, Sunset, Solar Noon and Twilight - diffify
• {laminr} 0.2.0: Interface for 'LaminDB' - diffify
• {TWW} 0.1.0: Growth Models - diffify
• {EGRET} 3.0.10: Exploration and Graphics for RivEr Trends - diffify
• {cfda} 0.12.0: Categorical Functional Data Analysis - diffify
• {move} 4.2.6: Visualizing and Analyzing Animal Track Data - diffify
• {diceplot} 0.1.4: High Dimensional Categorical Data Visualization - diffify
• {dint} 2.1.5: A Toolkit for Year-Quarter, Year-Month and Year-Isoweek Dates - diffify
• {eq5d} 0.15.5: Methods for Analysing 'EQ-5D' Data and Calculating 'EQ-5D' Index Scores - diffify
• {testCompareR} 1.1.1: Comparing Two Diagnostic Tests with Dichotomous Results using Paired Data - diffify
• {LaMa} 2.0.2: Fast Numerical Maximum Likelihood Estimation for Latent Markov Models - diffify
• {GD} 10.8: Geographical Detectors for Assessing Spatial Factors - diffify
• {snotelr} 1.5.2: Calculate and Visualize 'SNOTEL' Snow Data and Seasonality - diffify
• {prnsamplr} 1.0.0: Permanent Random Number Sampling - diffify
• {era} 0.5.0: Year-Based Time Scales - diffify
• {vaxpmx} 0.0.6: Vaccines Pharmacometrics - diffify
• {grates} 1.3.0: Grouped Date Classes - diffify
• {argparse} 2.2.4: Command Line Optional and Positional Argument Parser - diffify
• {targets} 1.9.0: Dynamic Function-Oriented 'Make'-Like Declarative Pipelines - diffify
• {plotscaper} 0.2.4: Explore Your Data with Interactive Figures - diffify
• {NLP} 0.3-2: Natural Language Processing Infrastructure - diffify
• {rtide} 0.0.11: Tide Heights - diffify
• {scoredec} 0.1.2: S-Core Graph Decomposition - diffify
• {OlympicRshiny} 1.0.2: 'Shiny' Application for Olympic Data - diffify
• {fitODBOD} 1.5.4: Modeling Over Dispersed Binomial Outcome Data Using BMD and ABD - diffify
• {corbouli} 0.1.3: Corbae-Ouliaris Frequency Domain Filtering - diffify
• {SoundShape} 1.3.2: Sound Waves Onto Morphometric Data - diffify
• {spatstat} 3.3-0: Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests - diffify
• {pooledpeaks} 1.0.7: Genetic Analysis of Pooled Samples - diffify
• {hdar} 1.0.4: 'REST' API Client for Accessing Data on 'WEkEO HDA V2' - diffify
• {vivainsights} 0.5.5: Analyze and Visualize Data from 'Microsoft Viva Insights' - diffify
• {RRBoost} 0.2: A Robust Boosting Algorithm - diffify
• {polylabelr} 0.3.0: Find the Pole of Inaccessibility (Visual Center) of a Polygon - diffify
• {HelpersMG} 6.3: Tools for Environmental Analyses, Ecotoxicology and Various R Functions - diffify
• {eoa3} 1.0.0.2: Wildlife Mortality Estimator for Low Fatality Rates and Imperfect Detection - diffify
• {datacutr} 0.2.0: SDTM Datacut - diffify
• {watson} 0.5: Fitting and Simulating Mixtures of Watson Distributions - diffify
• {cols} 1.3: Constrained Ordinary Least Squares - diffify
• {CDsampling} 0.1.2: 'CDsampling': Constraint Sampling in Paid Research Studies - diffify
• {LikertMakeR} 0.4.0: Synthesise and Correlate Likert Scale and Related Rating-Scale Data - diffify
• {kergp} 0.5.8: Gaussian Process Laboratory - diffify
• {HMMRel} 0.1.1: Hidden Markov Models for Reliability and Maintenance - diffify
• {ggiraph} 0.8.11: Make 'ggplot2' Graphics Interactive - diffify
• {file2meco} 0.9.1: Transform Files to 'microtable' Object with 'microeco' Package - diffify
• {tram} 1.2-0: Transformation Models - diffify
• {schoRsch} 1.11: Tools for Analyzing Factorial Experiments - diffify
• {mlt.docreg} 1.1-10: Most Likely Transformations: Documentation and Regression Tests - diffify
• {spatstat.linnet} 3.2-3: Linear Networks Functionality of the 'spatstat' Family - diffify
• {openairmaps} 0.9.1: Create Maps of Air Pollution Data - diffify
• {mulea} 1.1.1: Enrichment Analysis Using Multiple Ontologies and False Discovery Rate - diffify
• {cleaner} 1.5.5: Fast and Easy Data Cleaning - diffify
• {spatstat.model} 3.3-3: Parametric Statistical Modelling and Inference for the 'spatstat' Family - diffify
• {LST} 2.0.0: Land Surface Temperature Retrieval for Landsat 8 - diffify
• {pkgdepR} 1.1.1: Statically Determine Function Dependencies Between Packages - diffify
• {opendataformat} 2.0.0: Reading and Writing Open Data Format Files - diffify
• {epiR} 2.0.77: Tools for the Analysis of Epidemiological Data - diffify
• {EFAfactors} 1.1.1: Determining the Number of Factors in Exploratory Factor Analysis - diffify
• {cmstatr} 0.10.0: Statistical Methods for Composite Material Data - diffify
• {assertions} 0.2.0: Simple Assertions for Beautiful and Customisable Error Messages - diffify
• {rsconnect} 1.3.3: Deploy Docs, Apps, and APIs to 'Posit Connect', 'shinyapps.io', and 'RPubs' - diffify
• {forestplot} 3.1.6: Advanced Forest Plot Using 'grid' Graphics - diffify
• {findpython} 1.0.9: Functions to Find an Acceptable Python Binary - diffify
• {galah} 2.1.0: Biodiversity Data from the GBIF Node Network - diffify
• {spotoroo} 0.1.5: Spatiotemporal Clustering of Satellite Hot Spot Data - diffify
• {sleeperapi} 1.1.2: Wrapper Functions Around 'Sleeper' (Fantasy Sports) API - diffify
• {LongDat} 1.1.3: A Tool for 'Covariate'-Sensitive Longitudinal Analysis on 'omics' Data - diffify
• {hdbcp} 1.0.0: Bayesian Change Point Detection for High-Dimensional Data - diffify
• {tidyplate} 2.1.0: Transform Microplate Data into Tibbles - diffify
• {RadEro} 1.0.5: Cs-137 Conversion Model - diffify
• {distfreereg} 1.0.1: Distribution-Free Goodness-of-Fit Testing for Regression - diffify
• {COR} 0.1.0: The COR for Optimal Subset Selection in Distributed Estimation - diffify
• {APackOfTheClones} 1.2.4: Visualization of Clonal Expansion for Single Cell Immune Profiles - diffify
• {bWGR} 2.2.12: Bayesian Whole-Genome Regression - diffify
• {gerefer} 0.1.1: Preparer of Main Scientific References for Automatic Insertion in Academic Papers - diffify
• {simtrial} 0.4.2: Clinical Trial Simulation - diffify
• {mlt} 1.6-1: Most Likely Transformations - diffify
• {lori} 2.2.3: Imputation of High-Dimensional Count Data using Side Information - diffify
• {jagstargets} 1.2.2: Targets for JAGS Pipelines - diffify
• {graphlayouts} 1.2.1: Additional Layout Algorithms for Network Visualizations - diffify
• {BalancedSampling} 2.1.1: Balanced and Spatially Balanced Sampling - diffify
• {Jaya} 1.0.3: Gradient-Free Optimization Algorithm for Single and Multi-Objective Problems - diffify
• {enderecobr} 0.2.1: Padronizador de Endereços Brasileiros (Brazilian Addresses Standardizer) - diffify
• {wrProteo} 1.13.0: Proteomics Data Analysis Functions - diffify
• {tinytable} 0.6.1: Simple and Configurable Tables in 'HTML', 'LaTeX', 'Markdown', 'Word', 'PNG', 'PDF', and 'Typst' Formats - diffify
• {Luminescence} 0.9.26: Comprehensive Luminescence Dating Data Analysis - diffify
• {atime} 2024.11.15: Asymptotic Timing - diffify
• {tm} 0.7-15: Text Mining Package - diffify
• {saeMSPE} 1.3: Computing MSPE Estimates in Small Area Estimation - diffify
• {osmapiR} 0.2.2: 'OpenStreetMap' API - diffify
• {spatstat.geom} 3.3-4: Geometrical Functionality of the 'spatstat' Family - diffify
• {Rmpfr} 1.0-0: Interface R to MPFR - Multiple Precision Floating-Point Reliable - diffify
• {RMariaDB} 1.3.3: Database Interface and MariaDB Driver - diffify
• {RcppArmadillo} 14.2.0-1: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library - diffify
• {spheredata} 0.1.2: Students' Performance Dataset in Physics Education Research (SPHERE) - diffify
• {saens} 0.1.2: Small Area Estimation with Cluster Information for Estimation of Non-Sampled Areas - diffify
• {hydraulics} 0.7.1: Basic Pipe and Open Channel Hydraulics - diffify
• {GPvam} 3.1-2: Maximum Likelihood Estimation of Multiple Membership Mixed Models Used in Value-Added Modeling - diffify
• {crew.cluster} 0.3.3: Crew Launcher Plugins for Traditional High-Performance Computing Clusters - diffify
• {crew.aws.batch} 0.0.7: A Crew Launcher Plugin for AWS Batch - diffify
• {autovi} 0.4.1: Auto Visual Inference with Computer Vision Models - diffify
• {electionsBR} 0.5.0: R Functions to Download and Clean Brazilian Electoral Data - diffify
• {castor} 1.8.3: Efficient Phylogenetics on Large Trees - diffify
• {tpn} 1.9: Truncated Positive Normal Model and Extensions - diffify
• {RSQLite} 2.3.8: SQLite Interface for R - diffify
• {metaConvert} 1.0.2: An Automatic Suite for Estimation of Various Effect Size Measures - diffify
• {SensIAT} 0.1.1: Sensitivity Analysis for Irregular Assessment Times - diffify
• {dawaR} 0.2.4: An API Wrapper for 'DAWA' - 'The Danish Address Web API' - diffify
• {hgutils} 0.2.13: Collection of Utility Functions - diffify
• {Keng} 2024.11.17: Knock Errors Off Nice Guesses - diffify
• {UKFE} 0.3.8: UK Flood Estimation - diffify
• {spacesRGB} 1.6-1: Standard and User-Defined RGB Color Spaces, with Conversion Between RGB and CIE XYZ and Lab - diffify

CRANberries NEW:

• {saeHB.spatial} 0.1.1: Small Area Estimation Hierarchical Bayes For Spatial Model
• {GWlasso} 1.0.1: Geographically Weighted Lasso
• {exametrika} 1.1.0: Test Theory Analysis and Biclustering
• {anominate} 0.7: Alpha-NOMINATE Ideal Point Estimator
• {topics} 0.20.0: Creating and Significance Testing Language Features for Visualisation
• {super} 0.0.3: Interpreted String Literals
• {table.glue} 0.0.5: Make and Apply Customized Rounding Specifications for Tables
• {xpose.xtras} 0.0.2: Extra Functionality for the 'xpose' Package
• {transDA} 1.0.0: Transformation Discriminant Analysis
• {TimeDepFrail} 0.0.0.9: Time Dependent Shared Frailty Cox Model
• {scoutbaR} 0.0.1: A Spotlight 'React' Widget for 'shiny' Apps
• {roxy.shinylive} 1.0.0: A 'roxygen2' Extension for 'Shinylive'
• {mlms} 1.0.2: Multilevel Monitoring System Data for Wells in the USGS INL Aquifer Monitoring Network
• {matchedcc} 0.1.1: 'Stata'-Like Matched Case-Control Analysis
• {kendallknight} 0.4.0: Efficient Implementation of Kendall's Correlation Coefficient Computation
• {eva3dm} 0.99: Evaluation of 3D Meteorological and Air Quality Models
• {covalchemy} 1.0.0: Constructing Joint Distributions with Control Over Statistical Properties
• {cohetsurr} 1.0: Assessing Complex Heterogeneity in Surrogacy
• {chooseGCM} 1.0.1: Selecting General Circulation Models for Species Distribution Modeling
• {dhis2r} 0.3.0: Client for the 'DHIS2' Web API
• {scregclust} 0.1.10: Reconstructing the Regulatory Programs of Target Genes in scRNA-Seq Data
• {OutcomeWeights} 0.1.0: Outcome Weights of Treatment Effect Estimators
• {CTTvis} 0.1.0: Visualize Item Metrics of the Classical Test Theory Framework
• {consrq} 1.0: Constrained Quantile Regression
• {cisp} 0.1.0: A Correlation Indicator Based on Spatial Patterns
• {AnomalyScore} 0.1: Anomaly Scoring for Multivariate Time Series
• {quantsig} 0.1.0: Sigmoidal Quantile Function Estimator
• {gerda} 0.1.0: German Election Database (GERDA)
• {cellularautomata} 0.1.0: Cellular Automata
• {sampledatasets} 0.1.0: A Collection of Sample Datasets
• {Certara.RsNLME} 3.0.1: Pharmacometric Modeling
• {SVEMnet} 1.0.3: Self-Validated Ensemble Models with Elastic Net Regression
• {psc} 1.0.0: Personalised Synthetic Controls
• {OpeNoise} 0.2-18: Environmental Noise Pollution Data Analysis
• {lwc2022} 1.0.0: Langa-Weir Classification of Cognitive Function for 2022 HRS Data
• {BioVizSeq} 0.1.0: Visualizing the Elements Within Bio-Sequences
• {cbioportalR} 1.1.1: Browse and Query Clinical and Genomic Data from cBioPortal
• {pseudobibeR} 1.2: Aggregate Counts of Linguistic Features
• {mvvg} 0.1.0: Matrix-Variate Variance-Gamma Distribution
• {LFM} 0.1.0: Laplace Factor Model Analysis and Evaluation
• {GRIN2} 1.0: Genomic Random Interval (GRIN)
• {forestdynR} 0.0.1: Calculate Forest Dynamics
• {talkr} 0.1.3: Plotting Conversation Data
• {ecdata} 1.1.1: Loads Data from the Executive Communications Dataset
• {CSTE} 3.0.0: Covariate Specific Treatment Effect (CSTE) Curve
• {where} 1.0.0: Vectorised Substitution and Evaluation
• {OutSeekR} 1.0.0: Statistical Approach to Outlier Detection in RNA-Seq and Related
• {multiDoE} 0.9.2: Multi-Criteria Design of Experiments for Optimal Design
• {deident} 1.0.0: Persistent Data Anonymization Pipeline
• {tsmarch} 1.0.0: Multivariate ARCH Models
• {effectplots} 0.1.0: Effect Plots
• {CareDensity} 0.1.0: Calculate the Care Density or Fragmented Care Density Given a Patient-Sharing Network
• {bfboinet} 0.1.0: Backfill Bayesian Optimal Interval Design Using Efficacy and Toxicity