R Weekly 2026-W28 Testing plumber APIs, watcher

06 Jul 2026

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This week’s release was curated by Jon Calder, with help from the R Weekly team members and contributors.

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New Packages

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CRAN

{apifetch} 0.1.0: Token-Authenticated REST API Retrieval Toolkit
{amorem} 1.0.0: Augmented Modelling of Relational Events
{araponga} 1.0.1: Estimate 3D Orientations from 2D Landmarks
{AutoStrataK} 0.1.4: Automatic Optimal Stratification for Survey Sampling
{axprism} 0.2.0: Client for the ‘AxPrism’ Institutional XBRL and Shariah Compliance API
{baselinr} 0.5.0: WWC-Aligned Baseline Equivalence Tables for Education Impact Evaluations
{BioTooltipR} 0.1.0: Add Bio Tooltips to HTML Reports
{bitriad} 0.4: Triadic Analysis of Affiliation Networks
{canpumf} 0.5.2: Parse StatCan PUMF Files
{caretMultimodal} 1.0.0: Multimodal Late Fusion with ‘caret’
{CbKST} 0.1-0: Competence-Based Knowledge Space Theory
{checktor} 0.1.0: Extra CRAN Submission Checks
{clim4health} 0.1.0: Post-Processing of Climate Data for Health Applications
{clusterIV} 0.1.0: Clustered Jackknife Instrumental Variables Estimation
{cp1919} 0.1: Radio Observations of the Pulse Profiles and Dispersion Measures of Twelve Pulsars
{crawlee} 0.1.0: Tidy Interface for Reproducible Web Crawling
{cyclicwave} 0.1.0: Cyclic Wave Analysis for Time-Series Clustering
{DAST} 0.1.0: Spatio-Temporal Disaggregation for Maps with Changing Areal Boundaries
{deaviz} 0.1.0: Visualization of Data Envelopment Analysis Problems
{delarr} 0.1.0: Lazy Delayed Arrays with Fused Execution
{dicepro} 1.0.2: Semi-Supervised Deconvolution of Bulk RNA-Seq Data with Hyperparameter Optimization
{droughtevents} 0.1.0: Identify and Characterize Drought Events from Drought Index Time Series
{DSGEr} 1.3.1: Transcriptional Disruption Score for Gene Sets
{ecpromethee} 0.1.0: EC-PROMETHEE Multi-Criteria Decision Method
{emaxnls} 0.1.1: Nonlinear Least Squares Estimation for Emax Regression Models
{ernest} 1.2.4: A Toolkit for Nested Sampling
{evbsreg} 1.0.0: Local Influence Diagnostics for the Extreme-Value Birnbaum-Saunders Regression Model
{fibr} 0.1.1: Prior-Fraction Diagnostics for Hierarchical Models
{fixedCV} 0.1.0: Fixed-b Critical Values for Robust Inference with Time Series
{fz} 1.1: R Wrapper for the ‘funz-fz’ Parametric Simulation Framework
{GMLTM} 0.1.0: Generalized Multicomponent Latent Trait Model for Diagnosis
{gp3tools} 1.0.2: Import, Inspect, Analyse, and Report Gazepoint GP3 Exports
{GSbench} 0.1.0: Benchmarking Genomic Selection and Machine-Learning Prediction Models
{HomeRangeR} 0.1.0: Predict Vertebrate Home-Range Sizes Using Allometric Models
{hubEvals} 0.3.0: Tools for Scoring and Evaluating Hubverse Model Outputs
{huggingfaceR} 2.1.0: Access ‘Hugging Face’ Models and Datasets
{HVS} 1.0.0: Hypergraph Variable Selection
{icarm} 0.1.0: Interpretable Contextual-Accountable and Responsible Machine Learning
{ImprintCapASM} 0.1.1: Allele-Specific Methylation Analysis for Imprinted DMR Diagnostics
{jpmap} 0.1.3: Japan Maps with Insets for Okinawa and Ogasawara
{lt} 0.1: Lightweight Tables via JSON Specs and JavaScript
{lvmPlot} 0.1.0: Publication-Quality Diagrams for Latent Variable Models
{mapsf.gui} 0.1.0: Create Thematic Maps Interactively
{mergersim} 0.1.0: Merger Simulation and Calibration
{mixedsubjects} 1.0.0: Causal Inference in Experiments with Mixed-Subjects Designs
{msPCA} 0.5.0 Introducing msPCA: a new package for sparse PCA with multiple components
{MultiModalR} 1.0.0: Fast Bayesian Probability Estimation for Multimodal Categorical
{muse} 0.1.0: Multiple Unobserved Sources of Error State Space Models
{NeighborFinder} 1.0.1: Find Neighbor Species of a Bacteria of Interest in the Human Gut Microbiota
{netify} 1.5.3: Tools for Network Data Workflows
{OptSurvCutR} 0.10.0: Optimal Survival Cut-Point Discovery for Time-to-Event Analysis
{palsr} 0.1.0: Projected Actor Locations for Spatial Interaction Modeling
{panelbuild} 0.1.0: Panel Data Auditing, Validation, and Preparation Tools
{peeky} 0.1.0: Download and Extract ‘shinylive’ Applications
{PITS} 0.1.0: Power of Interrupted Time Series (ITS) Studies
{porter} 0.1.0: Generate Port Files for C Libraries
{proximetricsR} 0.6.4: Spectral Preprocessing and Chemometric Calibration of NIR Sensors
{PsychoMatic} 0.3.0: Automated Psychometric Workflows and Reporting Tools
{R2camtrapdp} 2.0.0: Convert Camera Trap Dataset to ‘Camtrap DP’
{rfair} 0.1.0: Assess the FAIRness of Research Data Objects and Software
{rtransparency} 1.0.0: Identifies Indicators of Transparency
{saeHB.Spatial.Beta} 0.1.0: Small Area Estimation Hierarchical Bayes for Spatial Beta Model
{SDALGCP2} 0.1.0: Fast Spatially Discrete Approximation to Log-Gaussian Cox Processes for Aggregated Disease Count Data
{seqcomp} 0.1.0: Sequential Comparison of Probabilistic Forecasts
{shinyReports} 1.0.3: R Markdown HTML Tab Rendering for Shiny
{SimplexRegression} 0.1.3: Simplex Regression Models with Parametric or Fixed Mean Link Functions
{sportsfeatures} 0.1.0: Longitudinal Sports Analytics Asset and Workload Feature Processing
{steves} 0.1.1: Rick Steves’ Europe Episodes for Teaching Data Analysis
{svmodt} 0.1.0: Linear SVM-Based Recursive Decision Trees
{taxify} 0.2.12: Offline Taxonomic Name Matching Against Local Darwin Core Snapshots
{TestREnlme} 0.1.0: Nonparametric Tests for Random Effects in Linear and Nonlinear Mixed-Effects Models
{testflow} 0.8.2: A Workflow for Statistical Testing, Interpretation, and ‘ggplot2’-Based Visualization
{trackclean} 0.1.0: Tools for Cleaning High-Frequency Real-Time Location Tracking Data
{uddbart} 0.2.0: Unified Dynamic Deep ‘BART’ for Interval-Censored Survival
{UKBAnalytica} 1.0.0: UK Biobank Data Processing and Survival Analysis Toolkit
{vbm} 0.1.0: Variance-Based Sensitivity Analysis for Weighting Estimators
{weightflow} 0.1.0: Declarative API for Staged Survey Weights
{wompwomp} 0.99.0: Optimizing Alluvial Plots

Updated Packages

🔍 Search on R-universe 🔍

{rstatix} 1.0.0: Pipe-Friendly Framework for Basic Statistical Tests - diffify
{neonSoilFlux} 4.0.1: Compute Soil Carbon Fluxes for the National Ecological Observatory Network Sites - diffify
{FinePop2} 0.6: Fine-Scale Population Analysis (Rewrite for Gene-Trait-Environment Interaction Analysis) - diffify
{COVID19} 3.0.4: R Interface to COVID-19 Data Hub - diffify
{optedr} 3.0.1: Calculating Optimal and D-Augmented Designs for Single- and Multi-Factor Models - diffify
{GenericML} 0.2.3: Generic Machine Learning Inference - diffify
{munsellinterpol} 3.4-0: Interpolate Munsell Renotation Data from Hue Value/Chroma to CIE/RGB - diffify
{explor} 0.3.11: Interactive Interfaces for Results Exploration - diffify
{CBTF} 0.7.0: Caught by the Fuzz! - A Minimalistic Fuzz-Test Runner - diffify
{splitGraph} 0.3.0: Dataset Dependency Graphs for Leakage-Aware Evaluation - diffify
{bacenR} 0.4.4: Access Data from Brazilian Central Bank: IFdata, Active Institutions, Balance Sheets and Normative Acts - diffify
{actuaRE} 1.0.1: Handling Single-Level and Hierarchically Structured Risk Factors using Credibility and Random Effects Models - diffify
{hsphase} 3.0.1: Phasing, Pedigree Reconstruction, Sire Imputation and Recombination Events Identification of Half-sib Families Using SNP Data - diffify
{rjd3jars} 0.0.4: External jars for ‘rjdverse’ R Packages - diffify
{saqgetr} 0.2.24: Import Air Quality Monitoring Data in a Fast and Easy Way - diffify
{reaborn} 1.0.1: Statistical Data Visualization, the ‘seaborn’ Way - diffify
{mixor} 1.0.7: Mixed-Effects Ordinal Regression Analysis - diffify
{lfl} 2.4.0: Linguistic Fuzzy Logic - diffify
{gscramble} 1.0.2: Simulating Admixed Genotypes Without Replacement - diffify
{geslaR} 1.0-3: Get and Manipulate the GESLA Dataset - diffify
{DGEAR} 0.2.1: Differential Gene Expression Analysis with R - diffify
{cohortBuilder} 1.0.0: Data Source Agnostic Filtering Tools - diffify
{GRAB} 0.2.5: Genome-Wide Robust Analysis for Biobank Data (GRAB) - diffify
{dtgiw} 1.1.0: Discrete Transmuted Generalized Inverse Weibull Distribution - diffify
{CohortSurvival} 1.1.2: Estimate Survival from Common Data Model Cohorts - diffify
{semanticfa} 0.1.1: Semantic Factor Analysis of Language Model Embeddings - diffify
{RRPP} 2.2.0: Linear Model Evaluation with Randomized Residuals in a Permutation Procedure - diffify
{GET} 1.0-8: Global Envelopes - diffify
{GenOrd} 2.1.0: Simulation of Discrete Random Variables with Marginal Distributions and Correlation Matrix and via a Gaussian or Student’s t Copula - diffify
{frontmatter} 0.3.0: Parse Front Matter from Documents - diffify
{rerddap} 1.3.0: General Purpose Client for ‘ERDDAP™’ Servers - diffify
{rdwd} 1.9.17: Select and Download Climate Data from ‘DWD’ (German Weather Service) - diffify
{quantregForest} 1.4-0: Quantile Regression Forests - diffify
{openalexR} 3.1.0: Getting Bibliographic Records from ‘OpenAlex’ Database Using ‘DSL’ API - diffify
{modsem} 1.0.21: Latent Interaction (and Moderation) Analysis in Structural Equation Models (SEM) - diffify
{gsDesign} 3.10.0: Group Sequential Design - diffify
{ggseg} 2.2.1: Plotting Tool for Brain Atlases - diffify
{DrugUtilisation} 1.2.1: Summarise Patient-Level Drug Utilisation in Data Mapped to the OMOP Common Data Model - diffify
{ColombiAPI} 0.4.0: Access Colombian Data via APIs and Curated Datasets - diffify
{ChileDataAPI} 0.3.0: Access Chilean Data via APIs and Curated Datasets - diffify
{teal.modules.clinical} 0.13.0: ‘teal’ Modules for Standard Clinical Outputs - diffify
{openxlsx2} 1.28: Read, Write and Edit ‘xlsx’ Files - diffify
{neonUtilities} 4.0.1: Utilities for Working with NEON Data - diffify
{dcortools} 0.2.0: Providing Fast and Flexible Functions for Distance Correlation Analysis - diffify
{tidytree} 0.4.8: A Tidy Tool for Phylogenetic Tree Data Manipulation - diffify
{teal.slice} 0.8.1: Filter Module for ‘teal’ Applications - diffify
{mcptools} 1.0.0: Model Context Protocol Servers and Clients - diffify
{ggpp} 0.6.1: Grammar Extensions to ‘ggplot2’ - diffify
{ggfun} 0.2.1: Miscellaneous Functions for ‘ggplot2’ - diffify
{csdata} 2026.7.2: Structural Data for Norway - diffify
{Compind} 3.5: Composite Indicators Functions - diffify
{circumplex} 1.2.0: Analysis and Visualization of Circular Data - diffify
{BSL} 3.2.6: Bayesian Synthetic Likelihood - diffify
{BrazilDataAPI} 0.3.0: Access Brazilian Data via APIs and Curated Datasets - diffify
{arsenal} 3.7.1: An Arsenal of ‘R’ Functions for Large-Scale Statistical Summaries - diffify
{VARcpDetectOnline} 0.2.1: Sequential Change Point Detection for High-Dimensional VAR Models - diffify
{uaparserjs} 0.4.0: Parse ‘User-Agent’ Strings - diffify
{shades} 1.5.0: Simple Colour Manipulation - diffify
{scatterD3} 1.0.2: D3 JavaScript Scatterplot from R - diffify
{RBesT} 1.10-0: R Bayesian Evidence Synthesis Tools - diffify
{ratesci} 1.1.0: Confidence Intervals and Tests for Comparisons of Binomial Proportions or Poisson Rates - diffify
{okf} 0.7.0: Open Knowledge Format (OKF) Ingestion - diffify
{btw} 1.3.0: A Toolkit for Connecting R and Large Language Models - diffify
{ggseg3d} 2.1.2: Interactive 3D Brain Atlas Visualization - diffify
{SCEM} 1.2.0: Splitting-Coalescence-Estimation Method - diffify
{metaboData} 0.6.4: Example Metabolomics Data Sets - diffify
{EconGeo} 2.1: Computing Key Indicators of the Spatial Distribution of Economic Activities - diffify
{harmonydata} 0.3.2: R Library for ‘Harmony’ - diffify
{covercorr} 1.1.0: Coverage Correlation Coefficient and Testing for Independence - diffify
{mlr3fda} 0.7.0: Extending ‘mlr3’ to Functional Data Analysis - diffify
{clinicalomicsdbR} 1.0.6: Interface with the ‘ClinicalOmicsDB’ API, Allowing for Easy Data Downloading and Importing - diffify
{BKP} 0.3.0: Beta Kernel Process Modeling - diffify
{pdi} 0.4.3: Phenotypic Index Measures for Oak Decline Severity - diffify
{okcolors} 0.1.2: A Set of Color Palettes Inspired by OK Go Music Videos for ‘ggplot2’ in R - diffify
{netmhc2pan} 1.3.3: Interface to ‘NetMHCIIpan’ - diffify
{metamer} 0.3.1: Create Data with Identical Statistics - diffify
{ggperiodic} 1.0.4: Easy Plotting of Periodic Data with ‘ggplot2’ - diffify
{finbif} 0.10.0: Interface for the ‘Finnish Biodiversity Information Facility’ API - diffify
{faunabr} 1.1.0: Explore Catálogo Taxônomico da Fauna do Brasil Database - diffify
{duckspatial} 1.2.0: R Interface to ‘DuckDB’ Database with Spatial Extension - diffify
{brulee} 1.1.0: High-Level Modeling Functions with ‘torch’ - diffify
{wideRhino} 1.2.0: High-Dimensional Methods via Generalised Singular Decomposition - diffify
{robmixglm} 1.2-8: Robust Generalized Linear Models (GLM) using Mixtures - diffify
{powerbrmsINLA} 1.3.0: Bayesian Power Analysis Using ‘brms’ and ‘INLA’ - diffify
{OBIC} 4.3.0: Calculate the Open Bodem Index (OBI) Score - diffify
{spdesign} 0.0.6: Designing Stated Preference Experiments - diffify
{SPARTAAS} 1.2.6: Statistical Pattern Recognition and daTing using Archaeological Artefacts assemblageS - diffify
{resmush} 1.0.2: Optimize and Compress Image Files with ‘reSmush.it’ - diffify
{treeSS} 0.2.4: Tree-Spatial Scan Statistic for Cluster Detection - diffify
{TemporalModelR} 0.3.0: Temporally Explicit Species Distribution Modelling - diffify
{statease} 1.3.0: Simplified Statistical Analysis with Plain-English Interpretation - diffify
{madrat} 3.37.1: May All Data be Reproducible and Transparent (MADRaT) * - diffify
{llamaR} 0.2.5: Interface for Large Language Models via ‘llama.cpp’ - diffify
{landmaRk} 0.1.3: Time-to-Event Landmark Analysis using an Array of Longitudinal and Survival Sub-Models - diffify
{janusplot} 0.1.1: Asymmetric Smoothed-Association Matrices via GAM Fits - diffify
{grmtree} 0.2.0: Recursive Partitioning for Graded Response Models - diffify
{gatoRs} 2.0.0: Geographic and Taxonomic Occurrence R-Based Scrubbing - diffify
{basifoR} 0.7.8: Retrieval and Processing of the Spanish National Forest Inventory - diffify
{survkl} 1.0.2: Estimate Survival Data with Data Integration - diffify
{RobinCar2} 0.2.3: ROBust INference for Covariate Adjustment in Randomized Clinical Trials - diffify
{DSIR} 0.8.0: Data Science Infrastructure for Global Health - diffify
{ChinAPIs} 0.2.0: Access Chinese Data via Public APIs and Curated Datasets - diffify
{SVEMnet} 3.2.3: Self-Validated Ensemble Models with Lasso and Relaxed Elastic Net Regression - diffify
{Rdrw} 1.0.3: Univariate and Multivariate Damped Random Walk Processes - diffify
{DegreeDayCalc} 0.1.1: Degree-Day Phenology Calculator (‘shiny’ Application) - diffify
{strollur} 0.1.3: Store and Transfer Amplicon Sequence Data - diffify
{LifeTableFertility} 0.1.1: ‘shiny’ Application for Life Table and Fertility Analysis - diffify
{LifeTableBuilder} 0.1.3: Interactive ‘shiny’ Application for Constructing Life Tables - diffify
{FoRDM} 1.0.3: Forest Many-Objective Robust Decision Making (‘FoRDM’) - diffify
{serad} 0.2.2: Standardized Economic Reporting and Automated Dynamic Writing / Synthèse d’Écrits Avec des Règles Automatisées et Dynamiques - diffify
{phoenics} 0.6.1: Pathways Longitudinal and Differential Analysis in Metabolomics - diffify
{normalize} 0.1.3: Centering and Scaling of Numeric Data - diffify
{movegroup} 2026.07.01: Visualizing and Quantifying Space Use Data for Groups of Animals - diffify
{MexicoDataAPI} 0.3.0: Access Mexican Data via APIs and Curated Datasets - diffify
{asympDiag} 0.3.3: Diagnostic Tools for Asymptotic Theory - diffify
{AIscreenR} 0.4.0: AI Screening Tools in R for Systematic Reviewing - diffify
{a5R} 0.5.0: ‘A5’ Discrete Global Grid System - diffify
{nanonext} 1.10.0: Lightweight Toolkit for Messaging, Concurrency and the Web - diffify
{ife} 0.2.5: Autodiff for Influence Function Based Estimates - diffify
{OUwie} 3.0.2: Analysis of Evolutionary Rates in an OU Framework - diffify
{releaser} 1.2.0: Help with Preparing a New Version of an R Package - diffify
{peopleanalyticsdata} 0.2.2: Data Sets for Keith McNulty’s Handbook of Regression Modeling in People Analytics - diffify
{mlt} 1.8-1: Most Likely Transformations - diffify
{ArchaeoPhases} 2.1.1: Post-Processing of Markov Chain Monte Carlo Simulations for Chronological Modelling - diffify
{pharmaversesdtm} 1.5.0: SDTM Test Data for the ‘Pharmaverse’ Family of Packages - diffify
{orthanc} 0.3.0: Programmatic Interface to ‘Orthanc’ DICOM Servers - diffify
{OpenLand} 1.0.4: Quantitative Analysis and Visualization of LUCC - diffify
{multiScaleR} 0.7.0: Methods for Optimizing Scales of Effect - diffify
{gson} 0.2.0: Base Class and Methods for ‘gson’ Format - diffify
{fastkqr} 1.0.1: A Fast Algorithm for Kernel Quantile Regression - diffify
{enrichit} 0.2.0: ‘C++’ Implementations of Functional Enrichment Analysis - diffify
{caretEnsemble} 4.0.2: Ensembles of Caret Models - diffify
{jmotif} 1.3.0: Time Series Analysis Toolkit Based on Symbolic Aggregate Discretization, i.e. SAX - diffify
{popEpi} 0.5.0: Functions for Epidemiological Analysis using Population Data - diffify
{mets} 1.3.11: Analysis of Multivariate Event Times - diffify
{structenforcement} 0.3.1: Struct-Like Data Type Checking and Enforcement - diffify
{doBy} 4.7.2: Groupwise Statistics, LSmeans, Linear Estimates, Utilities - diffify
{teal.modules.general} 0.7.0: General Modules for ‘teal’ Applications - diffify
{surveillance} 1.26.0: Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic Phenomena - diffify
{statgenHTP} 1.0.9.3: High Throughput Phenotyping (HTP) Data Analysis - diffify
{PRISMA2020} 1.1.4: Make Interactive ‘PRISMA’ Flow Diagrams - diffify
{s20x} 3.3.0: Functions for University of Auckland Course STATS 201/208 Data Analysis - diffify
{Rook} 1.2.1: HTTP Web Server for R - diffify
{RMTstat} 0.3.2: Distributions, Statistics and Tests Derived from Random Matrix Theory - diffify
{tinyVAST} 1.6.1: Multivariate Spatio-Temporal Models using Structural Equations - diffify
{Slick} 1.0.2: Interactive Visualization of MSE Results - diffify
{unvs.med} 1.1.1: A Universal Approach for Causal Mediation Analysis - diffify
{gsDesign2} 1.1.9: Group Sequential Design with Non-Constant Effect - diffify
{mwcsr} 0.1.12: Solvers for Maximum Weight Connected Subgraph Problem and Its Variants - diffify
{SlimR} 1.1.6: Adaptive Machine Learning-Powered, Context-Matching Tool for Single-Cell and Spatial Transcriptomics Annotation - diffify
{rATTAINS} 1.2.0: Access EPA ‘ATTAINS’ Data - diffify
{portion} 0.1.3: Extracting a Data Portion - diffify
{lmm} 1.5: Linear Mixed Models - diffify
{Tplyr} 1.3.3: A Traceability Focused Grammar of Clinical Data Summary - diffify
{tl} 0.0.2: Tiny Logging Interface to ‘rspdlite’ Wrapping ‘spdlite’ C++20 Logging - diffify
{rchemo} 0.1-4: Dimension Reduction, Regression and Discrimination for Chemometrics - diffify
{lsirm12pl} 2.0.3: Latent Space Item Response Model - diffify
{lava} 1.9.2: Latent Variable Models - diffify
{cicalc} 0.2.2: Calculate Confidence Intervals - diffify
{limSolve} 2.0.3: Solving Linear Inverse Models - diffify
{LBBNN} 0.1.6: Latent Binary Bayesian Neural Networks Using ‘torch’ - diffify
{GeoModels} 2.2.5: Procedures for Gaussian and Non Gaussian Geostatistical (Large) Data Analysis - diffify
{dvir} 3.4.2: Disaster Victim Identification - diffify
{teal.widgets} 0.6.1: ‘shiny’ Widgets for ‘teal’ Applications - diffify
{teal} 1.2.0: Exploratory Web Apps for Analyzing Clinical Trials Data - diffify
{soilKey} 0.9.157: Automated Soil Profile Classification per WRB 2022, and USDA Soil Taxonomy 13 - diffify
{seminrExtras} 1.0.2: Conduct Additional Modeling and Analysis for ‘seminr’ - diffify
{ream} 1.0-12: Density, Distribution, and Sampling Functions for Evidence Accumulation Models - diffify

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