R Weekly 2026-W20 S at 50, targets vs dbt

11 May 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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Insights

Tutorials

Resources

New Packages

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CRAN

▸ Statistics & Modelling

{mlmodels} 0.1.2: Maximum Likelihood Models and Tools for Estimation, Prediction, and Testing
{topcc} 1.2: Topological Correlation Coefficient
{mGSFPCA} 0.2.2: Estimate Functional Principal Components from Sparse Data
{rocTools} 0.1.3: Tools for Distribution-Based ROC Smoothing Using 'pROC'
{RMeDPower2} 1.0.1: Design and Modeling for Repeated Measures Studies
{CanonicalFamilyExtra} 1.0.0: Extra Canonical Link Family Objects for Generalized Linear Models
{survdt} 0.9.0: Improved Methods for Survival Analysis under Double Truncation
{OSCARS} 0.1.2: Global Bounded Optimization by the OSCARS-II Algorithm
{MFRCD} 0.1.0: Optimal Row-Column Designs for Asymmetrical Factorial Experiments
{discoCVI} 0.1.1: Implementation of the DISCO Metric for Internal Clustering Evaluation
{dcce} 0.4.2: Dynamic Common Correlated Effects Estimation for Panel Data
{rocvb} 0.1.0: ROC-Based Inference for Diagnostic Accuracy Under Verification Bias
{logStirling2} 0.2.0: Fast Stirling Numbers of the Second Kind
{statease} 1.0.0: Simplified Statistical Analysis with Plain-English Interpretation
{fcmfd} 0.1.0: Fuzzy C-Means for Fuzzy Data
{SmoothPLS} 0.1.5: Partial Least-Squares Algorithm for Categorical and Scalar Functional Data
{DiversityStats} 0.1.0: Diversity Indices with Statistical Inference
{KMT} 1.0.0: Khmaladze Martingale Transformation Goodness-of-Fit Test
{cosmic} 0.5: Conditional Ordinal Stereotype Model for Incident-Level Comparison
{paneltests} 1.0.5: Panel Data Pre-Testing and Diagnostic Suite

▸ Bayesian Methods

{glmbayes} 0.9.3: Bayesian Generalized Linear Models (IID Samples)
{ErrorTracer} 1.0.2: Bayesian Error Propagation and Forecast Uncertainty Decomposition

▸ Machine Learning, AI & LLMs

{XGeoRTR} 0.7.0: Backend-Neutral Explainable Geometry State and Operators
{rlmstudio} 0.2.2: Access and Control LM Studio
{pensar} 0.4.2: LLM Wiki Engine
{corteza} 0.6.3: AI Agent Runtime
{rtemis.llm} 0.8.1: Large Language Models and Agentic AI

▸ Causal Inference

{ipeval} 0.1.0: Evaluation of Interventional Predictions
{NonlinearDiD} 0.1.0: Staggered Difference-in-Differences with Nonlinear Outcomes
{rdstagger} 0.1.0: Staggered Regression Discontinuity with Network Interference

▸ Time Series & Forecasting

{forecastADAPT} 0.1.0: Computation of Adaptive Forecast
{DPQBootstrap} 0.1.1: Dirichlet Quantile Bootstrap for Time Series

▸ Spatial & Geospatial

{toro} 0.1.0: Interactive & Customisable Maps using the 'MapLibre GL JS' Library
{mwmapdata} 1.0.0: Spatial Boundary Data for Malawi Administrative Levels
{precviasBR} 0.1.0: Spatial Data of Road Precariousness in Brazil

▸ Visualization & Graphics

{int3ract} 1.0.7: Plotting Two- and Three-Way Interactions
{ggWebGL} 0.4.0: Browser-Native 'WebGL' Rendering for R Graphics
{DT2} 0.1.1: 'DataTables' 2.x for R

▸ Health, Bioinformatics & Pharma

{wrictools} 1.0.1: Analyze Whole Room Indirect Calorimetry (WRIC) Data
{amp.sim} 0.1.0: Flexible Simulation Utilities for Pharmacometric Modeling
{reems} 0.1.0: Estimating Effective Migration Surfaces from Single Nucleotide Polymorphism Data
{rgsrs} 0.1.0: Query the FDA Global Substance Registration System (GSRS) API
{mSigPlot} 2.0.38: Plotting Mutational Signatures and Mutational Spectra
{BRCore} 2.0.4: Unified Framework for Identification and Ecological Interpretation of Microbial Data from Bioenergy Research Centers
{PatientGenerator} 0.1.4: Generator of Synthetic Patient Data for the OMOP Common Data Model
{DANDELION} 0.1.0: Discovery of Candidate Disease Genes Using Trans-Regulatory Effects
{LOCOM2} 1.0: A Logistic Regression Model for Testing Microbial Differential Abundance
{heattree} 0.3.1: A Self-Contained Widget for Interactive Phylogenetic Tree Visualization
{datasusr} 0.1.0: Fast Access to Brazilian Public Health Data from 'DATASUS'

▸ Ecology, Environment & Agriculture

{fb4package} 2.0.0: 'Fish Bioenergetics 4.0' Model Implementation with High-Performance 'TMB' Backend
{emln} 1.1.0: Organize, Handle, and Explore Ecological Multilayer Networks

▸ Finance & Economics

{contagionchannels} 0.1.3: Two-Stage Detection and Attribution of Cross-Border Financial Contagion Channels
{qgarch} 0.1.0: Quadratic GARCH-in-Mean Models for Volatility Feedback
{ibkrcp} 0.1.1: R Client for the Interactive Brokers Client Portal API

▸ Survey, Psychometrics & Social Science

{surveysearch} 0.1.0: Search and Examine Variables Across Survey Datasets
{arkhaia} 0.5.5: Archaeological and Historical Analysis
{surveycore} 0.8.3: Core Survey Analysis Infrastructure
{delaydiscount} 0.0.1: Fit Linearized Hyperbolic Model for Delay Discounting Curves

▸ Data Access, APIs & Datasets

{datazoom.social} 0.1.0: Simplify Access to Brazilian Social Data
{CepalStatR} 0.9.0: Access to the 'CEPALSTAT API'
{tesouror} 0.2.2: Access Brazilian National Treasury Open Data APIs
{vegetablesSriLanka} 1.1.0: Daily Vegetable Prices of Sri Lanka
{metrosp} 1.0.0: 'São Paulo' Metro Passenger Demand Data
{ihsMW} 0.1.5: Access 'Malawi Integrated Household Survey' Data

▸ Reporting & Documentation

{gridmicrotex} 0.0.1: Native 'LaTeX' Math Rendering for Grid Graphics

▸ Utilities & Developer Tools

{solidauthr} 0.1.2: Solid OIDC Client Credentials Authentication
{s7contract} 0.1.0: 'Go'-Like Interfaces and 'Rust'-Like Traits with 'S7'
{dbProject} 0.1.0: Database Connection Management and Utilities for 'dbverse'
{ViewR} 1.0.0: Interactive Data Viewer, Filter, and Editor
{DataDNA} 0.1.0: Data Frame Fingerprints and Lineage Figures
{manifesto} 0.0.2: Create Project Manifest Files

Updated Packages

🔍 Search on R-universe 🔍

▸ Statistics & Modelling

{BAMBI} 2.3.7: Bivariate Angular Mixture Models - diffify
{geommc} 1.3.2: Geometric Markov Chain Sampling - diffify
{DyadRatios} 2.0: Dyad Ratios Algorithm for Latent Variable Estimation - diffify
{funHDDC} 2.3.1.1: Univariate and Multivariate Model-Based Clustering in Group-Specific Functional Subspaces - diffify
{fastei} 0.0.16: Methods for ''A Fast Alternative for the R x C Ecological Inference Case'' - diffify
{coda.base} 1.0.6: A Basic Set of Functions for Compositional Data Analysis - diffify
{cicalc} 0.2.1: Calculate Confidence Intervals - diffify
{lgspline} 1.1.0: Lagrangian Multiplier Smoothing Splines for Smooth Function Estimation - diffify
{PGaovR} 0.1.1: Analysis of Experimental Data using ANOVA and Mean Comparison - diffify
{distfreereg} 1.2: Distribution-Free Goodness-of-Fit Testing for Regression - diffify
{savvyGLM} 0.1.4: Generalized Linear Models with Slab and Shrinkage Estimators - diffify
{CatPredi} 2.0: Optimal Categorisation of Continuous Variables in Prediction Models - diffify
{automatedRecLin} 1.1.0: Record Linkage Based on an Entropy-Maximizing Classifier - diffify
{geessbin} 1.0.2: Modified Generalized Estimating Equations for Binary Outcome - diffify
{REndo} 2.5.0: Fitting Linear Models with Endogenous Regressors using Latent Instrumental Variables - diffify
{MCPAN} 1.1-22: Multiple Comparisons Using Normal Approximation - diffify
{cpfa} 1.2-9: Classification with Parallel Factor Analysis - diffify
{adelie} 1.0.9: Group Lasso and Elastic Net Solver for Generalized Linear Models - diffify
{CoSMoS} 2.2.0: Complete Stochastic Modelling Solution - diffify
{vntrs} 0.2.1: Variable Neighborhood Trust Region Search - diffify
{collinear} 3.0.1: Automated Multicollinearity Management - diffify
{MVar.pt} 2.2.9: Analise multivariada (brazilian portuguese) - diffify
{MVar} 2.2.9: Multivariate Analysis - diffify
{lfebd3} 0.2.0: Generation and Analysis of 3-Level and 5-Level Factorial Block Designs - diffify
{graphpcor} 0.1.25: Models for Correlation Matrices Based on Graphs - diffify
{fdasrvf} 2.4.4: Elastic Functional Data Analysis - diffify
{ameras} 0.3.0: Analyze Multiple Exposure Realizations in Association Studies - diffify
{mwTensor} 1.2.2: Multi-Way Component Analysis - diffify
{blindrecalc} 1.1.1: Blinded Sample Size Recalculation - diffify
{sprtt} 0.3.1: Sequential Probability Ratio Tests Toolbox - diffify
{GRIDCOPULA} 1.1.1: Bivariate Copula Functions Based on Regular Grid - diffify
{Spower} 0.6.2: Power Analyses using Monte Carlo Simulations - diffify
{fastglm} 0.1.0: Fast and Stable Fitting of Generalized Linear Models using 'RcppEigen' - diffify
{VetResearchLMM} 1.1.0: Linear Mixed Models - An Introduction with Applications in Veterinary Research - diffify
{mdscore} 0.1-4: Improved Score Tests for Generalized Linear Models - diffify
{dress.graph} 0.8.3: DRESS - A Continuous Framework for Structural Graph Refinement - diffify
{weird} 2.1.0: Functions and Data Sets for "That's Weird: Anomaly Detection Using R" by Rob J Hyndman - diffify
{MortalityLaws} 2.2.0: Parametric Mortality Models, Life Tables and HMD - diffify
{RNAmf} 1.1.4: Recursive Non-Additive Emulator for Multi-Fidelity Data - diffify
{kdensity} 1.2.0: Kernel Density Estimation with Parametric Starts and Asymmetric Kernels - diffify

▸ Bayesian Methods

{coalitions} 0.6.27: Bayesian "Now-Cast" Estimation of Event Probabilities in Multi-Party Democracies - diffify
{BayesPIM} 1.0.1: Bayesian Prevalence-Incidence Mixture Model - diffify
{bfbin2arm} 0.1.2: Bayes Factor Design for Two-Arm Binomial Trials - diffify
{RoBMA} 4.0.0: Robust Bayesian Meta-Analyses - diffify
{RoBSA} 1.0.4: Robust Bayesian Survival Analysis - diffify
{wru} 3.1.0: Who are You? Bayesian Prediction of Racial Category Using Surname, First Name, Middle Name, and Geolocation - diffify
{BayesTools} 0.3.0: Tools for Bayesian Analyses - diffify

▸ Machine Learning, AI & LLMs

{BiplotML} 1.1.1: Logistic Biplot Estimation Using Machine Learning Algorithms - diffify
{iTensor} 1.0.4: ICA-Based Matrix/Tensor Decomposition - diffify
{nnTensor} 1.4.0: Non-Negative Tensor Decomposition - diffify
{SCE} 1.1.3: Stepwise Clustered Ensemble - diffify
{mafR} 1.1.14: Interface for Masked Autoregressive Flows - diffify
{ellmer} 0.4.1: Chat with Large Language Models - diffify
{daltoolboxdp} 1.2.767: Deep Python Extensions for 'daltoolbox' - diffify
{unifiedml} 0.3.0: Unified Interface for Machine Learning Models - diffify

▸ Causal Inference

{ATbounds} 0.1.1: Bounding Treatment Effects by Limited Information Pooling - diffify
{CERFIT} 0.2.0: Causal Effect Random Forest of Interaction Trees - diffify
{pensynth} 0.8.2: Penalized Synthetic Control Estimation - diffify
{lmtp} 1.5.4: Non-Parametric Causal Effects of Feasible Interventions Based on Modified Treatment Policies - diffify
{caugi} 1.2.0: Causal Graph Interface - diffify
{polle} 1.6.3: Policy Learning - diffify
{CausalMixGPD} 0.8.0: Bayesian Nonparametric Conditional Density Modeling in Causal Inference and Clustering with a Heavy-Tail Extension - diffify

▸ Time Series & Forecasting

{harbinger} 2.0.707: A Unified Time Series Event Detection Framework - diffify
{IDetect} 0.1.1: Isolate-Detect Method for Multiple Change-Point Detection - diffify
{kimfilter} 2.0.0: Kim Filter - diffify
{focus} 0.1.5: Online Changepoint Detection in Univariate and Multivariate Data Streams - diffify

▸ Spatial & Geospatial

{geoAr} 1.2.2: Argentina's Spatial Data Toolbox - diffify
{RFmerge} 0.3-3: Merging of Satellite Datasets with Ground Observations using Random Forests - diffify
{geospatialsuite} 0.2.0: Comprehensive Geospatiotemporal Analysis and Multimodal Integration Toolkit - diffify
{SSIMmap} 0.4.0: The Structural Similarity Index Measure for Maps - diffify
{sf} 1.1-1: Simple Features for R - diffify
{MetricGraph} 1.6.0: Random Fields on Metric Graphs - diffify
{INLAspacetime} 0.1.14: Spatial and Spatio-Temporal Models using 'INLA' - diffify
{fields} 17.3: Tools for Spatial Data - diffify
{rgeopat2} 0.4.1: Additional Functions for 'GeoPAT' 2 - diffify
{spsurvey} 5.6.1: Spatial Sampling Design and Analysis - diffify

▸ Visualization & Graphics

{ggblanket} 20.0.0: Publication-Quality 'ggplot2' Visualisation - diffify

▸ Health, Bioinformatics & Pharma

{pharmaverseadamjnj} 0.0.5: J&J Innovative Medicine ADaM Test Data - diffify
{scCustomize} 3.3.0: Custom Visualizations & Functions for Streamlined Analyses of Single Cell Sequencing - diffify
{spant} 4.0.0: MR Spectroscopy Analysis Tools - diffify
{SelfControlledCaseSeries} 6.1.5: Self-Controlled Case Series - diffify
{CohortMethod} 6.0.2: Comparative Cohort Method with Large Scale Propensity and Outcome Models - diffify
{episomer} 3.0.35: Early Detection of Public Health Threats from Social Media Data - diffify
{rbiom} 3.1.0: Integrated Analysis and Visualization of Microbiome Data - diffify
{espadon} 1.11.5: Easy Study of Patient DICOM Data in Oncology - diffify
{nmw} 0.3.0: Understanding Nonlinear Mixed Effects Modeling for Population Pharmacokinetics - diffify
{Rduckhts} 1.2.1-0.1.0: 'DuckDB' High Throughput Sequencing File Formats Reader Extension - diffify
{pharmaversesdtmjnj} 0.0.4: J&J Innovative Medicine SDTM Test Data - diffify
{campsismod} 1.3.2: Generic Implementation of a PK/PD Model - diffify
{MKomics} 0.8: Omics Data Analysis - diffify
{mnirs} 0.6.3: Muscle Near-Infrared Spectroscopy Processing and Analysis - diffify
{promor} 0.2.3: Proteomics Data Analysis and Modeling Tools - diffify
{dcifer} 1.5.2: Genetic Relatedness Between Polyclonal Infections - diffify
{cgmguru} 0.2.0: Advanced Continuous Glucose Monitoring Analysis with High-Performance C++ Backend - diffify
{MorphSim} 1.2.0: Simulate Discrete Character Data along Phylogenetic Trees - diffify
{CohortCharacteristics} 1.1.3: Summarise and Visualise Characteristics of Patients in the OMOP CDM - diffify
{taxodist} 0.3.0: Taxonomic Distance and Phylogenetic Lineage Computation - diffify
{LFApp} 1.4.2: Shiny Apps for Lateral Flow Assays - diffify
{scoper} 1.5.0: Spectral Clustering-Based Method for Identifying B Cell Clones - diffify
{UCSCXenaShiny} 2.2.1: Interactive Analysis of UCSC Xena Data - diffify
{statgenIBD} 1.0.11: Calculation of IBD Probabilities - diffify
{htrSPRanalysis} 0.1.2: Analysis of Surface Plasmon Resonance Data - diffify
{BEACH} 1.3.2: Biometric Exploratory Analysis Creation House - diffify
{medicalcoder} 0.8.1: A Unified and Longitudinally Aware Framework for ICD-Based Comorbidity Assessment - diffify
{qtl2} 0.40: Quantitative Trait Locus Mapping in Experimental Crosses - diffify

▸ Ecology, Environment & Agriculture

{fastbioclim} 0.4.2: Scalable and Flexible Derivation of Custom-Time Bioclimatic and Environmental Summary Variables - diffify
{meteoland} 2.2.7: Landscape Meteorology Tools - diffify
{icecdr} 1.2.0: Download Sea Ice Concentration Data from the NSIDC Climate Data Record - diffify
{wallace} 2.2.1: A Modular Platform for Reproducible Modeling of Species Niches and Distributions - diffify
{aelab} 1.1.3: Data Processing for Aquatic Ecology - diffify
{AntClassify} 0.2.1: Functional Guilds, Invasion Status, Endemism, and Rarity of Ants - diffify
{medfateland} 3.0.0: Mediterranean Landscape Simulation - diffify
{divent} 0.5-4: Entropy Partitioning to Measure Diversity - diffify
{medfate} 5.0.0: Mediterranean Forest Simulation - diffify
{rapsimng} 0.5.0: APSIM Next Generation - diffify
{sorcering} 1.2.3: Soil Organic Carbon and CN Ratio Driven Nitrogen Modelling Framework - diffify
{FD} 1.0-12.5: Measuring Functional Diversity (FD) from Multiple Traits, and Other Tools for Functional Ecology - diffify
{wxgenR} 1.4.5: A Stochastic Weather Generator with Seasonality - diffify
{sharpshootR} 2.5: A Soil Survey Toolkit - diffify

▸ Finance & Economics

{rsmatrix} 0.2.10: Matrices for Repeat-Sales Price Indexes - diffify
{greeks} 1.5.3: Sensitivities of Prices of Financial Options and Implied Volatilities - diffify
{piar} 0.9.0: Price Index Aggregation - diffify
{fHMM} 1.4.3: Fitting Hidden Markov Models to Financial Data - diffify

▸ Survey, Psychometrics & Social Science

{kollaR} 1.1.4: Event Classification, Visualization and Analysis of Eye Tracking Data - diffify
{ananke} 0.2.0: Quantitative Chronology in Archaeology - diffify
{openesm} 0.2.0: Access the Open Experience Sampling Method Database - diffify
{ShortForm} 0.5.8: Automatic Short Form Creation - diffify
{BoundIRT} 0.5.0: Fit Bounded Continuous Item Response Theory Models to Data - diffify
{irtsim} 0.1.2: Monte Carlo Simulation-Based Sample-Size Planning for Item Response Theory - diffify
{psychTools} 2.6.4: Tools to Accompany the 'psych' Package for Psychological Research - diffify
{ThurMod} 1.1.20: Thurstonian CFA and Thurstonian IRT Modeling - diffify

▸ Text Analysis & Linguistics

{oolong} 0.7.0: Create Validation Tests for Automated Content Analysis - diffify
{iotarelr} 0.1.9: Iota Inter Coder Reliability for Content Analysis - diffify
{textreuse} 1.0.1: Detect Text Reuse and Document Similarity - diffify
{sumer} 1.6.0: Sumerian Cuneiform Text Analysis - diffify
{tidystringdist} 0.1.6: String Distance Calculation with Tidy Data Principles - diffify
{rainette} 0.3.3: The Reinert Method for Textual Data Clustering - diffify

▸ Data Access, APIs & Datasets

{subincomeR} 0.5.0: Access to Global Sub-National Income Data - diffify
{ggversa} 0.1.1: Conjuntos de Datos para 'Graficas Versatiles con ggplot2' - diffify
{medrxivr} 0.1.3: Access and Search MedRxiv and BioRxiv Preprint Data - diffify
{ColombiAPI} 0.3.2: Access Colombian Data via APIs and Curated Datasets - diffify
{redatamx} 1.3.0: R Interface to 'Redatam' Library - diffify
{rbiodatacr} 0.1.1: R Client for the BIODATACR Biodiversity Data Platform of Costa Rica - diffify
{fds} 1.9: Functional Data Sets - diffify
{pubmedR} 1.0.2: Gathering Metadata About Publications, Grants, Clinical Trials from 'PubMed' Database - diffify

▸ Reporting & Documentation

{iheiddown} 0.9.9: For Writing Geneva Graduate Institute Documents - diffify
{summata} 0.11.5: Publication-Ready Summary Tables and Forest Plots - diffify
{examly} 0.3: Statistical Metrics and Reporting Tool - diffify
{tsg} 0.1.4: Generate Publication-Ready Statistical Tables - diffify
{exams2forms} 0.2-1: Embedding 'exams' Exercises as Forms in 'rmarkdown' or 'quarto' Documents - diffify

▸ Utilities & Developer Tools

{S7schema} 0.1.0: 'S7' Framework for Schema-Validated YAML Configuration - diffify
{watcher} 0.1.6: Watch the File System for Changes - diffify
{resultcheck} 0.2.1: Result Stability Checks for Empirical R Projects - diffify
{mirai} 2.7.0: Minimalist Async Evaluation Framework for R - diffify
{vectra} 0.6.2: Columnar Query Engine for Larger-than-RAM Data - diffify
{ghclass} 0.4.0: Tools for Managing Classes on GitHub - diffify
{md4r} 0.5.3.0: Markdown Parser Implemented using the 'MD4C' Library - diffify
{MKmisc} 2.0: Miscellaneous Functions from M. Kohl - diffify
{ronfig} 0.0.10: Load Configuration Values - diffify
{Deducer} 0.9-2: A Data Analysis GUI for R - diffify
{cpp11} 0.5.5: A C++11 Interface for R's C Interface - diffify
{mgsub} 2.0.0: Safe, Multiple, Simultaneous String Substitution - diffify
{MazamaCoreUtils} 0.6.2: Utility Functions for Production R Code - diffify
{data.table} 1.18.4: Extension of `data.frame` - diffify
{tdigest} 0.4.3: Wicked Fast, Accurate Quantiles Using t-Digests - diffify
{overviewR} 0.0.14: Easily Extracting Information About Your Data - diffify
{operators} 0.2.0: Additional Binary Operators - diffify
{memshare} 1.1.1: Shared Memory Multithreading - diffify
{azr} 0.3.3: Credential Chain for Seamless 'OAuth 2.0' Authentication to 'Azure Services' - diffify

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We are pleased to announce that Mikael Jagan has joined the R Core Team. #RStats He has been an active contributor to the R project for several years, proposing bug fixes and enhancements. Further, he has been co-authoring/maintaining the important Matrix package and more recently lme4 and glmmTMB.
— The R Foundation (@r-foundation.bsky.social) 7 May 2026 at 12:28

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Quotes of the Week

Speaking of crazy d values, this reminds me of this feature I was thinking about adding to the forest() function in metafor. #Rstats #MetaAnalysis

[image or embed]
— Wolfgang Viechtbauer (@wviechtb.bsky.social) 7 May 2026 at 09:31

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