RSS POSTS: ##

RSS POSTS:

• Using GitHub Actions to deploy to Posit Connect Cloud
• A Summer, Explained with R
• useR! 2026: Futurize - Tearing Down Parallelization Barriers in R with Transpilers
• Learning how to extract parts of a string
• Reading notes on The Programmer’s Brain by Felienne Hermans
• Bayesian Thinking
• RcppMsgPack 0.2.5 on CRAN: Minor Maintenance
• Breaking the Python Barrier: Building a Pure R-Native DeepAR Engine with LibTorch
• Navigating Challenges in Spatial Machine Learning
• What the Heck Are Lua Filters?
• Creating self-contained R scripts for rendering Quarto documents using the knitr engine – courtesy of the new R package managers ir and uvr
• cuda.ml 0.4.0: GPU-accelerated machine learning from R
• CSV to Canvas Quiz
• Typst for Efficient Typesetting
• McNemar’s test in R
• Decorator Pattern in R for Clinical Statistics
• TidyTuesday 2026/34
• TidyTuesday 2026/33

  CRANberries UPDATED:

• {Ropj} 0.3-7: Import Origin(R) Project Files - diffify
• {semFromKeys} 0.5.2: Run ‘lavaan’ Models from Keys Lists - diffify
• {mipfp} 3.2.3: Multidimensional Iterative Proportional Fitting and Alternative Models - diffify
• {ggstatsplot} 1.1.0: ‘ggplot2’ Based Plots with Statistical Details - diffify
• {colorrepel} 0.5.2: Repel Visually Similar Colors for Colorblind Users in Various Plots - diffify
• {polarzonoid} 0.4-0: Compute Maps and Properties of Polar Zonoids - diffify
• {nimble} 1.4.3: MCMC, Particle Filtering, and Programmable Hierarchical Modeling - diffify
• {tvGarchKF} 1.0.0: Time-Varying Garch Models Through a State-Space Representation - diffify
• {ravepipeline} 0.2.0: Reproducible Pipeline Infrastructure for Neuroscience - diffify
• {declared} 0.27: Functions for Declared Missing Values - diffify
• {DDIwR} 0.20: DDI with R - diffify
• {assessor} 1.3.2: Assessment Tools for Regression Models with Discrete and Semicontinuous Outcomes - diffify
• {admisc} 0.41: Adrian Dusa’s Miscellaneous - diffify
• {terralink} 1.8.2: Connectivity Corridor Optimization for Raster and Vector Data - diffify
• {MSCsimtester} 1.2: Tests of Multispecies Coalescent Gene Tree Simulator Output - diffify
• {functionals} 0.5.1: Functional Programming with Parallelism and Progress Tracking - diffify
• {testflow} 1.0.0: A Workflow for Statistical Testing and Interpretation - diffify
• {missknn} 1.1.2: Fast Masked K-Nearest Neighbor Imputation - diffify
• {mimar} 1.0.0: Compact Multiple Imputation, Assessment, and Reporting - diffify
• {mcstatsim} 0.5.1: Monte Carlo Statistical Simulation Tools Using a Functional Approach - diffify
• {densemlp} 0.6.0: Dense Neural Networks for Tabular Classification and Regression - diffify
• {stan4bart} 0.0-13: Bayesian Additive Regression Trees with Stan-Sampled Parametric Extensions - diffify
• {SLGP} 1.1.0: Spatial Logistic Gaussian Process for Field Density Estimation - diffify
• {RCurl} 1.98-1.20: General Network (HTTP/FTP/…) Client Interface for R - diffify
• {PTXQC} 1.1.6: Quality Report Generation for MaxQuant and mzTab Results - diffify
• {pkgfilecache} 0.2.0: Download and Manage Optional Package Data - diffify
• {bage} 0.10.10: Bayesian Estimation and Forecasting of Age-Specific Rates - diffify
• {XML} 3.99-0.24: Tools for Parsing and Generating XML Within R and S-Plus - diffify
• {vcdExtra} 0.9.8: ‘vcd’ Extensions and Additions - diffify
• {SuperLearner} 2.0-41: Super Learner Prediction - diffify
• {SSBtools} 1.8.8: Algorithms and Tools for Tabular Statistics and Hierarchical Computations - diffify
• {soma} 1.2.1: General-Purpose Optimisation with the Self-Organising Migrating Algorithm - diffify
• {safetensors} 0.3.0: Safetensors File Format - diffify
• {S7schema} 0.1.2: ‘S7’ Framework for Schema-Validated YAML Configuration - diffify
• {RProtoBuf} 0.4.28: R Interface to the ‘Protocol Buffers’ ‘API’ (Version 2 or 3) - diffify
• {QuickJSR} 1.11.0: Interface for the ‘QuickJS-NG’ Lightweight ‘JavaScript’ Engine - diffify
• {PatientProfiles} 1.6.1: Identify Characteristics of Patients in the OMOP Common Data Model - diffify
• {party} 1.3-22: A Laboratory for Recursive Partytioning - diffify
• {Nestimate} 0.8.5: Dynamic, Probabilistic, and Higher-Order Network Analysis - diffify
• {multcomp} 1.4-32: Simultaneous Inference in General Parametric Models - diffify
• {mlr3cluster} 0.5.0: Cluster Extension for ‘mlr3’ - diffify
• {jsutils} 0.4.0: ‘JavaScript’ Utilities for ‘R’ - diffify
• {BMIselect} 1.0.9: Bayesian MI-LASSO for Variable Selection on Multiply-Imputed Datasets - diffify
• {subincomeR} 0.6.0: Access to Global Sub-National Income Data - diffify
• {scopusflow} 0.4.0: A Reproducible Workflow Layer for ‘Scopus’ Bibliographic Searches - diffify
• {RATest} 0.1.11: Randomization Tests - diffify
• {MoTBFs} 2.0: Learning Hybrid Bayesian Networks using Mixtures of Truncated Basis Functions - diffify
• {mcgf} 1.2.0: Markov Chain Gaussian Fields Simulation and Parameter Estimation - diffify
• {mapnhanespa} 0.2.0: Map Quantiles for Physical Activity from ‘NHANES’ - diffify
• {IsoplotRgui} 7.0: Web Interface to ‘IsoplotR’ - diffify
• {freegroup} 1.2-1-1: The Free Group - diffify
• {flightsbr} 1.2.0: Download Flight and Airport Data from Brazil - diffify
• {FinanceGraphs} 0.9.2: Flexible Graphs for Analysis of Financial Data and Time Series - diffify
• {familiar} 2.0.3: End-to-End Automated Machine Learning and Model Evaluation - diffify
• {eulerr} 8.3.0: Area-Proportional Euler and Venn Diagrams - diffify
• {edfinr} 0.2.0: Access Tidy Education Finance Data - diffify
• {DrugUtilisation} 1.3.1: Summarise Patient-Level Drug Utilisation in Data Mapped to the OMOP Common Data Model - diffify
• {chiOpenData} 0.1.1: Convenient Access to Chicago Open Data API Endpoints - diffify
• {birp} 0.0.6: Testing for Population Trends Using Low-Cost Ecological Count Data - diffify
• {BIGpopA} 2.0.0: Pedigree Validation Genetic Composition of Diploids & Polyploids - diffify
• {biglasso} 1.7.0: Extending Lasso Model Fitting to Big Data - diffify
• {Anthropometry} 1.22: Statistical Methods for Anthropometric Data - diffify
• {ICEHmeasures} 2.1.0: The Equiplot Graph and Complex Inequality Measures - diffify
• {agregR} 1.0.4: Bayesian State-Space Aggregation of Brazilian Presidential Polls - diffify
• {actiread} 0.5.0: Baseline Package for Reading Actigraphy and Activity Data - diffify
• {RivRetrieve} 0.2.0: Retrieve Global River Gauge Data - diffify
• {impala} 0.1.4: Bayesian Model Calibration - diffify
• {flexFitR} 1.2.4: Flexible Non-Linear Least Square Model Fitting - diffify
• {dtangle} 2.0.10: Cell Type Deconvolution from Gene Expressions - diffify
• {BioCro} 3.4.0: Modular Crop Growth Simulations - diffify
• {contactsurveys} 0.2.0: Download Contact Surveys for Use in Infectious Disease Modelling - diffify
• {vayr} 1.1.0: Extensions for ‘ggplot2’ to Visualize as You Randomize - diffify
• {rtiktoken} 0.11.0.2: A Byte-Pair-Encoding (BPE) Tokenizer for OpenAI’s Large Language Models - diffify
• {REDCapExporter} 0.3.6: Automated Construction of R Data Packages from REDCap Projects - diffify
• {rbm25} 2.3.2: A Light Wrapper Around the ‘BM25’ ‘Rust’ Crate for Okapi BM25 Text Search - diffify
• {phontrast} 2.4.0: Contrast and Separation Metrics for Phonological Categories - diffify
• {ModalCens} 0.2.0: Parametric Modal Regression with Right Censoring - diffify
• {Immutables} 1.1.0: Fast and Functional Data Structures - diffify
• {dbarts} 0.9-34: Discrete Bayesian Additive Regression Trees Sampler - diffify
• {bios2mds} 1.2.4: From Biological Sequences to Multidimensional Scaling - diffify
• {awdb} 0.1.4: Query the USDA NWCC Air and Water Database REST API - diffify
• {regressinator} 0.3.1: Simulate and Diagnose (Generalized) Linear Models - diffify
• {stepcount} 0.6.0: Estimate Step Counts from ‘Accelerometry’ Data - diffify
• {schwabr} 0.1.5: ‘Schwab API’ Interface - diffify
• {RiskPortfolios} 2.1.8: Computation of Risk-Based Portfolios - diffify
• {dsROCrate} 0.2.2: ‘DataSHIELD’ RO-Crate Governance Functions - diffify
• {dataganger} 0.8.0: Synthetic Data Doubles for Safer Prototyping - diffify
• {bayesGARCH} 2.2.0: Bayesian Estimation of the GARCH(1,1) Model with Student-t Innovations - diffify
• {AdMit} 2.1.12: Adaptive Mixture of Student-t Distributions - diffify
• {writexl} 2.0.1: Export Data Frames to Excel ‘xlsx’ Format - diffify
• {transDA} 1.0.3: Transformation Discriminant Analysis - diffify
• {survival} 3.8-11: Survival Analysis - diffify
• {statsExpressions} 2.1.0: Tidy Dataframes and Expressions with Statistical Details - diffify
• {socviz} 2.0.0: Utilities and Data Sets for Data Visualization - diffify
• {shiny.fluent} 0.4.1: Microsoft Fluent UI for Shiny Apps - diffify
• {sentopics} 1.0.0: Tools for Joint Sentiment and Topic Analysis of Textual Data - diffify
• {scimesh} 0.3.4: Headless Publication-Quality 3D Mesh Rendering Engine - diffify
• {RtForecastR} 0.1.1: Real-Time Effective Reproduction Number Estimation and Forecasting - diffify
• {rchime} 0.1.2: Detect and Remove Chimeras from Amplicon Sequence Analysis Data - diffify
• {ravetools} 0.3.0: Signal and Image Processing Toolbox for Analyzing Intracranial Electroencephalography Data - diffify
• {MosaiClusteR} 0.1.1: An Umbrella Framework for Multi-Source and Multi-Omics Clustering - diffify
• {mlt} 1.8-2: Most Likely Transformations - diffify
• {mlr3} 1.8.0: Machine Learning in R - Next Generation - diffify
• {isodistrreg} 0.6.0: Isotonic Distributional Regression (IDR) - diffify
• {ifo} 0.2.5: Client for the Ifo Institute Time Series - diffify
• {healthyR.ai} 0.1.2: The Machine Learning and AI Modeling Companion to ‘healthyR’ - diffify
• {gridmicrotex} 0.1.0: Native ‘LaTeX’ Math Rendering for Grid Graphics - diffify
• {fastrda} 0.2.0: Fast Redundancy Analysis (RDA) with High-Performance ‘C++’ Backend - diffify
• {FastHamming} 1.3: Fast Computation of Pairwise Hamming Distances - diffify
• {cvar} 0.6.1: Compute Expected Shortfall and Value at Risk for Continuous Distributions - diffify
• {qs2} 0.3.1: Efficient Serialization of R Objects - diffify
• {NeutroCODsAnalysis} 0.2.0: Neutrosophic Analysis Crossover Designs - diffify
• {GTFSwizard} 1.2.1: Creating, Exploring, and Manipulating GTFS Files - diffify
• {faunabr} 1.1.1: Explore Catálogo Taxônomico da Fauna do Brasil Database - diffify
• {cards} 0.9.0: Analysis Results Data - diffify
• {bridgr} 1.0.0: Bridging Data Frequencies for Timely Economic Forecasts - diffify
• {BayesPIM} 2.0: Bayesian Prevalence-Incidence Mixture Model - diffify
• {autodb} 3.3.1: Automatic Database Normalisation for Data Frames - diffify
• {optree} 0.1.2: Hierarchical Runtime Configuration Management - diffify
• {NonCompart} 0.8.3: Noncompartmental Analysis for Pharmacokinetic Data - diffify
• {mvord} 1.2.7: Multivariate Ordinal Regression Models - diffify
• {hydrogeofetch} 2.0.1: Hydrologic Geospatial Fabric Extraction Tool Chain - diffify
• {httptest} 4.2.4: A Test Environment for HTTP Requests - diffify
• {healthiar} 0.2.5: Quantifying and Monetizing Health Impacts Attributable to Exposure - diffify
• {ggmlR} 0.8.4: ‘GGML’ Tensor Operations for Machine Learning - diffify
• {EFAtools} 1.1.0: Fast and Flexible Implementations of Exploratory Factor Analysis Tools - diffify
• {dsdp} 0.1.2: Density Estimation with Semidefinite Programming - diffify
• {actibase} 0.5.0: Baseline Functions for Actigraphy and Activity Processing and Analysis - diffify
• {rpart.plot} 3.1.5: Plot ‘rpart’ Models: An Enhanced Version of ‘plot.rpart’ - diffify
• {plotmo} 3.7.1: Plot a Model’s Residuals, Response, and Partial Dependence Plots - diffify
• {Modeler} 3.4.10: Classes and Methods for Training and Using Binary Prediction Models - diffify
• {modeldata} 1.6.0: Data Sets Useful for Modeling Examples - diffify
• {klassR} 1.0.7: Classifications for Statistics Norway - diffify
• {ic.infer} 1.1-8: Inequality Constrained Inference in Linear Normal Situations - diffify
• {glmertree} 0.2-7: Generalized Linear Mixed Model Trees - diffify
• {earth} 5.3.6: Multivariate Adaptive Regression Splines - diffify
• {desplot} 1.11: Plotting Field Plans for Agricultural Experiments - diffify
• {tractor.base} 3.5.2.1: Read, Manipulate and Visualise Magnetic Resonance Images - diffify
• {thisutils} 0.5.0: Reliable Utilities for Reusable Research Workflows - diffify
• {RobustMetrics} 1.0.0: Calculates Robust Performance Metrics for Imbalanced Classification Problems - diffify
• {RNiftyReg} 2.8.6: Image Registration Using the ‘NiftyReg’ Library - diffify
• {redeem} 1.1.0: Relational Event and Durational Event Models - diffify
• {mlr3fda} 0.7.2: Extending ‘mlr3’ to Functional Data Analysis - diffify
• {filearray} 0.2.3: File-Backed Array for Out-of-Memory Computation - diffify
• {FastJM} 1.7.1: Semi-Parametric Joint Modeling of Longitudinal and Survival Data - diffify
• {arcpbf} 0.3.0: Process ArcGIS Protocol Buffer FeatureCollections - diffify
• {tipse} 2.1: Tipping Point Analysis for Survival Endpoints - diffify
• {targeted} 0.9.0: Targeted Inference - diffify
• {sonicscrewdriver} 0.0.7.1: Bioacoustic Analysis and Publication Tools - diffify
• {mlr3benchmark} 0.1.8: Analysis and Visualisation of Benchmark Experiments - diffify
• {mdendro} 2.3.0: Extended Agglomerative Hierarchical Clustering - diffify
• {ksformat} 0.8.4: ‘SAS’-Style ‘PROC FORMAT’ for R - diffify
• {DLCA} 1.1: Divisive Latent Class Analysis - diffify
• {animejs} 1.1.0: R Bindings to the ‘Anime.js’ Animation Library - diffify
• {worldbank} 0.10.0: Client for the ‘World Bank’ APIs - diffify
• {vitae} 0.7.0: Curriculum Vitae for R Markdown - diffify
• {ulrb} 0.1.9: Unsupervised Learning Based Definition of Microbial Rare Biosphere - diffify
• {tinysnapshot} 0.3.0: Snapshots for Unit Tests using the ‘tinytest’ Framework - diffify
• {tinycodet} 0.7.1: Functions to Help in your Coding Etiquette - diffify
• {summata} 0.12.0: Publication-Ready Summary Tables and Forest Plots - diffify
• {scanr} 0.1.1: Sequential Change-Point Detection via Nonparametric Inference - diffify
• {matchednull} 0.2.1: Matched-Null Tests for Cluster-Count Claims - diffify
• {marp} 0.1.1: Model-Averaged Renewal Process - diffify
• {jellyfisher} 1.1.2: Visualize Spatiotemporal Tumor Evolution with Jellyfish Plots - diffify
• {inDAGO} 1.0.4: A GUI for Dual and Bulk RNA-Sequencing Analysis - diffify
• {implicitMeasures} 1.0.0: Compute Scores for Different Implicit Measures - diffify
• {ggRandomForests} 3.5.2: Visually Exploring Random Forests - diffify
• {fable.bayesRecon} 0.2.0: Bayesian Reconciliation in the ‘fable’ Framework - diffify
• {dyadicMarkov} 0.1.2: Pattern Estimation and Identification for Dyadic Sequences Using Transition Matrices in R - diffify
• {cpge} 1.0.2: Interactive Clustered Graph for French Scientific Preparatory Classes - diffify
• {bsvarSIGNs} 3.0: Bayesian SVARs with Sign, Zero, and Narrative Restrictions - diffify
• {broadcast} 0.1.9.6: Broadcasted Array Operations Like ‘NumPy’ - diffify
• {Statamarkdown} 1.0.0: ‘Stata’ Markdown - diffify
• {spOccupancy} 0.8.1: Single-Species, Multi-Species, and Integrated Spatial Occupancy Models - diffify
• {sov} 2.0.0: Calculate vs-SOVs and SOVs for Assemblies with D-Dimensional Voting - diffify
• {smaa} 0.3-4: Stochastic Multi-Criteria Acceptability Analysis - diffify
• {SimplexRegression} 0.1.6: Simplex Regression Models with Parametric or Fixed Mean Link Functions - diffify
• {shinyglass} 0.2.0: Liquid Glass Design Themes for ‘shiny’ Applications - diffify
• {rtpcr} 2.1.9: qPCR Data Analysis - diffify
• {RTMBdist} 1.0.6: Distributions Compatible with Automatic Differentiation by ‘RTMB’ - diffify
• {rPDBapi} 3.0.2: A Comprehensive Interface for Accessing the Protein Data Bank - diffify
• {RESI} 1.5.1: Robust Effect Size Index (RESI) Estimation - diffify
• {ReportSubtotal} 0.2.1: Adds Subtotals to Data Reports - diffify
• {ReDaMoR} 1.0.1: Relational Data Modeler - diffify
• {RColetum} 1.1.0: Access your Coletum’s Data from API - diffify
• {ramps} 0.6.19: Bayesian Geostatistical Modeling with RAMPS - diffify
• {qol} 1.3.4: Powerful ‘SAS’ Inspired Concepts for more Efficient Bigger Outputs - diffify
• {PubMatrixR} 1.0.1: PubMed Pairwise Co-Occurrence Matrix Construction and Visualization - diffify
• {psrwe} 3.2-2: PS-Integrated Methods for Incorporating Real-World Evidence in Clinical Studies - diffify
• {PhysMove} 1.2.5: Quantifying Animal Movement and Space-Use Patterns with Statistical Physics - diffify
• {parafac4microbiome} 1.3.3: Parallel Factor Analysis Modelling of Longitudinal Microbiome Data - diffify
• {orgutils} 0.5-4: Helper Functions for Org Files - diffify
• {Orangutan} 2.2.0: Automated Analysis of Phenotypic Data - diffify
• {NPLStoolbox} 1.1.1: N-Way Partial Least Squares Modelling of Multi-Way Data - diffify
• {NormData} 1.2: Derivation of Regression-Based Normative Data - diffify
• {gtregression} 1.1.0: Tools for Creating Publication-Ready Regression Tables - diffify
• {altmeta} 4.4: Alternative Meta-Analysis Methods - diffify
• {nmw} 0.5.1: Understanding Nonlinear Mixed Effects Modeling for Population Pharmacokinetics - diffify
• {modsem} 1.0.22: Latent Interaction (and Moderation) Analysis in Structural Equation Models (SEM) - diffify
• {mlr3misc} 0.23.0: Helper Functions for ‘mlr3’ - diffify

  CRANberries NEW:

• {MuTATE} 0.1.0: Multi-Target Automated Tree Engine (MuTATE)
• {grayleafspotdata} 0.1.0: File Manifest for the S-BSST3199 Magnaporthe Colony Image Dataset
• {CoxAalenCR} 0.1.0: Additive-Multiplicative Cox-Aalen Subdistribution Hazard Model for Competing Risks
• {TieFreeCensor} 0.1.0: Algorithm for Generating Tie-Free Progressive Type-II Censored Samples
• {tabulergm} 0.1.0: Publication-Ready Tables and Summaries for Exponential-Family Random Graph Models
• {rewind} 0.2.0: Undo and Redo for ‘Shiny’ Applications
• {rankingQ} 0.2.0: Design-Based Methods for Ranking Questions
• {PowerXgammaRF} 1.0.0: Random Forest Regression with Power Xgamma Distribution Error Model
• {phylowise} 0.0.1: Phylogenetic Pairwise Contrasts
• {pHMC} 0.1.0: Proximal Hamiltonian Monte Carlo for Non-Smooth Bayesian Inference
• {pb210dating} 1.0.1: Pb-210 Dating of Sediment Cores
• {openfhe.R} 1.5.1: R Interface to the ‘OpenFHE’ Fully Homomorphic Encryption Library
• {MTLRF} 1.0.0: Random Forest Regression with Modified Topp-Leone Error Model
• {investdatar} 0.1.5: Investment Data Access and Preparation Toolkit
• {GFT} 1.0.0: Generalized Fisher Transformation of Correlation Matrices
• {fuzzyurn} 0.1.0: Generalized Non-Central Fuzzy Dynamic Hypergeometric Processes
• {FITclust} 1.0.0: Fair Interpolated Transport for Group-Fair Clustering
• {citcdf} 1.1.0: Conditional Independence Testing with Cumulative Distribution Functions
• {bruno} 0.1.0: Predicting User-Defined Event Recurrence under Exchangeability
• {brfssdata} 0.1.0: Access CDC Behavioral Risk Factor Surveillance System Data
• {autotune} 0.1.0: Faster and more Efficient Lasso (than ‘glmnet’ and ‘scalreg’) with Data-Driven Tuning
• {AstraeaDB} 0.2.1: Client for the ‘AstraeaDB’ Graph Database
• {ArvindRF} 1.0.0: Random Forest Regression with Arvind Distribution Error Model
• {OneShotEM} 0.1.0: Efficient eM-Algorithm for One-Shot Device Data Analysis
• {gpciLindleyApprox} 0.1.0: Lindley Approximation Method for Generalized Process Capability Indices
• {gpcihybridIImcmc} 0.1.0: Generalized Process Capability Indices for Hybrid Type-II Censored Data using MCMC
• {gpcihybridIILinApp} 0.1.0: Lindley Approximation for Capability Indices under Hybrid Censoring
• {gpcihybridIIImpSam} 0.1.0: Process Capability Indices for Hybrid Type-II Data via Importance Sampling
• {gpcihybridIIEM} 0.1.0: Generalized Process Capability Indices via EM for Hybrid Type-II Data
• {gpcihybridII} 0.1.0: Generalized Process Capability Indices under Hybrid Type-II
• {AugBalWeight} 0.1.0: Augmented Balancing Weights as Linear Regression
• {ivdtools} 0.1.2: Statistical Tools for Evaluation of in Vitro Diagnostic Reagents
• {dgraphs} 0.1.0: Data-Derived Graph Construction Utilities
• {underdisp} 0.1.0: Diagnostics and Models for Underdispersed Count Data
• {scanr} 0.1.1: Sequential Change-Point Detection via Nonparametric Inference
• {weatherMRJD} 0.1.1: Weather Analysis and Markov Regime Switching Jump Diffusion Models
• {robustrcp} 0.1.0: Outlier-Robust Ratio-cum-Product Estimators of Finite Population Mean
• {MLMES} 0.1.2: Model-Based Effect Sizes for Multilevel Models
• {caverify} 0.1.2: Fast Strength-t Coverage Verification for Covering Arrays
• {themescopeR} 0.1.1: Social Representation Analysis via Semantic Network Mapping
• {scmix} 0.1.1: Bayesian Model-Based Clustering with Sparse Conditional Mixture Forecasting
• {ofemeantest} 1.0.0: On Farm Experimentation Mean Test
• {nwaa} 0.1.4: USGS NWAA Data Download
• {mditools} 0.1.0: Microdata Infrastructure Tools for Firm-Level Microdata Research
• {lineager} 0.1.1: Row-Level Data Provenance and Exclusion Tracking
• {kpp2019} 0.0.1: Kenya Population Projections 2019
• {hydrogeofetch} 2.0.1: Hydrologic Geospatial Fabric Extraction Tool Chain
• {grout} 0.1.0: Abstract Raster Tiling Schemes
• {alepe} 0.1.0: Access the Open Data API of the Legislative Assembly of Pernambuco