R Weekly 2026-W36 Jarl R linter, R docs sites

31 Aug 2026

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

Highlight

• Jarl 0.6.0: A fast R linter

• A new take on documentation sites for R packages

Insights

• Undo for Shiny, and the three problems that make it interesting

• jsslintr: check JSS manuscript style from R (and everywhere else)

• Jarl 0.6.0: A fast R linter

• nlmixr2 7.0’s Covariance Step, All Grown Up

• rOpenSci News Digest, August 2026

• Reading notes on Naming Things by Tom Benner

R in the Real World

• Does mosquito control work?

• TidyTuesday 2026/35

• Plot a pedigree in R: seven packages, each built for a different job

R Internationally

• Validar datos para prevenir problemas y errores futuros

• Línea de tiempo del lenguaje de programación R

• Categorizar una variable continua con el método de cortes naturales Jenks

• Desarrollo de paquetes con R

Tutorials

• Lua Filters for Quarto’s HTML Output

• recipes 1.4.0

• Cochran’s Q test in R, or the extension of McNemar’s test for more than two groups

• A new take on documentation sites for R packages

Resources

• Quarto Extension: arXiv with Typst

• Trusted Mini-Agents: Engineering AI Errors Out of Agentic Workflows: a free online guide to least-privilege agents that structurally eliminate AI errors from high-stakes results. Examples showcase ellmer and shinychat.

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

• {VanillaCalendar} 1.0.0: Interactive Calendar and Date Picker Widget
• {layeranalyzer} 0.4.1: Time Series Analysis Tool using Linear Layered SDEs
• {deli} 0.1.0: M-Estimation and Empirical Sandwich Variance Estimation
• {MultiSEp} 4.1.3: Predict Synthetic Lethality and Other Gene Dependency Relationships from Multiomics Data
• {lasars} 0.1.1: Explore Response Style in Survey Responding
• {ExpDesignR} 0.1.0: Experimental Design and Randomization Methods for Biomedical and Veterinary Research
• {ORCI.Welch} 0.1.1: Approximate Odds Ratio Confidence Intervals with Welch’s Adjustments
• {sportsR} 0.1.0: A Comprehensive Collection of Sports and Athletics Datasets
• {mvboxcox} 0.1.4: Bivariate Logistic Box-Cox Regression
• {AgriFusionR} 0.1.0: An Integration Framework for Agricultural Analytics
• {textclassificationtutorial} 0.1.2: Reproducible Text Classification Workflows Censoring
• {enrollcast} 0.1.0: Project School Enrollment with Grade Progression Ratios
• {cantrends} 0.1.0: Fit Segmented Regression Models
• {AISanalyze} 3.1.2: Processing and Analyzing AIS Vessel Tracking Data
• {ggnext} 0.1.0: A Next-Generation Grammar of Graphics
• {MDaRes} 0.0.2: MD Analysis of Residue Properties Using Structural Alphabets
• {DRLAP2} 0.1.1: Dynamic Reinforcement Learning and Adaptive Progressive
• {deltabreedquery} 1.0.3: Fast, Simple API Tools for Retrieving Data from ‘DeltaBreed’
• {CohortIncidence} 4.2.0: Cohort Incidence Analysis for the OMOP Common Data Model
• {interSAE} 0.1.0: Intersectional Small Area Estimation from Survey and Census Data
• {IGPFrailty} 0.1.0: Inverse Gaussian Process Degradation Models with Frailty

GitHub

• {permittimelines}: Garage-conversion and ADU building-permit timeline data for Los Angeles, San Diego, San Francisco, and Seattle, prepared from each city’s official open-data portal

• dual: A cross-platform project manager for R and Python - Manage runtimes, dependencies, lockfiles, and reproducible tasks for R, Python, or mixed-language scientific projects.

Updated Packages

🔍 Search on R-universe 🔍

• {qol} 1.3.4: Powerful ‘SAS’ Inspired Concepts for more Efficient Bigger Outputs + diffify
• {bookdown} 0.48: Authoring Books and Technical Documents with R Markdown - diffify
• {pagedown} 0.25: Paginate the HTML Output of R Markdown with CSS for Print - diffify
• {ggtext} 0.2.0: Improved Text Rendering Support for ‘ggplot2’ - diffify
• {performance} 0.18.0: Assessment of Regression Models Performance - diffify
• {modelbased} 0.17.0: Estimation of Model-Based Predictions, Contrasts and Means - diffify
• {pROC} 1.19.1: Display and Analyze ROC Curves - diffify
• {RcppParallel} 6.2.1: Parallel Programming Tools for ‘Rcpp’ - diffify
• {lares} 5.4.1: Lean Analytics and Robust Exploration Sidekick - diffify
• {wbstats} 1.2: Programmatic Access to Data and Statistics from the World Bank API - diffify
• {giscoR} 1.2.0: Download ‘Eurostat’ ‘GISCO’ Spatial Data - diffify
• {randomizr} 2.0.1: Easy-to-Use Tools for Common Forms of Random Assignment and Sampling - diffify
• {compareGroups} 4.10.3: Descriptive Analysis by Groups - diffify
• {manynet} 2.3.1: Many Ways to Make, Manipulate, and Modify Myriad Networks - diffify
• {mikropml} 1.7.1: User-Friendly R Package for Supervised Machine Learning Pipelines - diffify
• {fastglm} 0.1.2: Fast and Stable Fitting of Generalized Linear Models using ‘RcppEigen’ - diffify
• {corels} 0.0.6: R Binding for the ‘Certifiably Optimal RulE ListS (Corels)’ Learner - diffify
• {scDHA} 1.2.4: Single-Cell Decomposition using Hierarchical Autoencoder - diffify
• {directlabels} 2026.8.27: Direct Labels for Multicolor Plots - [diffify](https://diffify.com/R/directlabels

Videos and Podcasts

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R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• A list of R conferences and meetings

• This week’s local R-User and applied stats events

• Weekly R Workshops for Ukraine

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Quotes of the Week

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