R Weekly 2026-W38 Tidyomics, safer joins, Positron highlights

14 Sep 2026

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

Highlight

Slicing in tidyomics
Prevent accidental many-to-many joins in R with synthetic sports odds - An offline base-R example with explicit comparison keys and duplicate checks.
Positron September Release Highlights

Insights

CRAN

{foresty} 0.1.0: Forest Plots and Subgroup Effects from Fitted Regression Models
{undomanager} 0.1.0: Manage the History of Any Object with Undo/Redo Operations
{r4subpharma} 0.1.0: ‘pharmaverse’ Adapters for R4SUB Submission Readiness Evidence
{mathr} 0.1.3: Scientific Computation Using R
{icebergr} 0.1.0: Read and Write ‘Apache Iceberg’ Tables
{AlleloBin} 1.0.0: A Shiny Application for Allele Binning in Microsatellite Markers
{socketR} 1.0.4: POSIX Socket Programming for R
{shinygenui} 0.1.0: Generative UI for ‘shiny’
{rvisual} 0.1.1: Visual Data Analysis ‘RStudio’ ‘Addin’ with AI Copilot
{ducklake} 0.6.0: Interact with ‘DuckLake’ from R
{tidycjk} 0.1.0: Tidy Tools for Chinese, Japanese and Korean Text
{catfda} 0.1.0: Statistical Analysis for Categorical Functional Data
{RcppTrust} 0.1.0: Thread-Safe C++ Port of the ‘trust’ Trust Region Optimizer

Updated Packages

🔍 Search on R-universe 🔍

RDieHarder 0.2.8 on CRAN: Minor Maintenance
RcppXts 0.0.7 on CRAN: Minor Maintenance
RcppArmadillo 15.6.0-1 on CRAN: New Upstream Minor
RcppFarmHash 0.0.4 on CRAN: Maintenance
orbital 0.7.0
sanitizers 0.1.2 on CRAN: Maintenance
rfoaas 2.4.0 at CRAN: Fully Restored Functionality
#059: r2u, GitHub Actions, a Tragedy of the Commons, and a Fix
RcppExamples 0.1.11 on CRAN: Very Minor Maintenance
RcppClassicExamples 0.1.5 on CRAN: Very Minor Maintenance
gaussfacts 0.0.4 on CRAN: New Feature
random 0.2.7 on CRAN: Maintenance
corels 0.0.6 on CRAN: Microfix
RandomWalker: Custom Walks and Double Pendulum Chaos
vitals 0.4.0d
{tesseract} 5.3.1: Open Source OCR Engine - diffify
{diffobj} 0.3.9: Diffs for R Objects - diffify
{choroplethr} 5.0.2: Create Color-Coded Choropleth Maps in R - diffify
{gllvm} 2.0.15: Generalized Linear Latent Variable Models - diffify
{tmbstan} 1.2.1: MCMC Sampling from ‘TMB’ Model Object using ‘Stan’ - diffify
{wintime} 1.0.0: Win Time Methods for Time-to-Event Data in Clinical Trials - diffify
{tidytuesdayR} 1.3.3: Access the Weekly ‘TidyTuesday’ Project Dataset - diffify
{glasstabs} 0.4.0: Animated Glass-Style Tabs and Select Inputs for ‘Shiny’ - diffify
{commons} 0.1.0: AI Agents for Data Analysis - diffify
{tibblify} 0.4.2: Rectangle Nested Lists - diffify
{rmsfact} 0.0.4: Amazing Random Facts About the World’s Greatest Hacker - diffify
{simplermarkdown} 0.1.0: Simple Engine for Generating Reports using R - diffify
{nuggets} 2.2.4: Fast and Extensible Pattern Discovery in Tabular Data - diffify
{htmlreportR} 2.0.1: ‘HTML’ Reporting Made Simple(R) - diffify
{cooltools} 2.33: Practical Tools for Scientific Computation and Visualisation - diffify
{hdf5r} 1.3.16: Interface to the ‘HDF5’ Binary Data Format - diffify
{grattanInflators} 0.6.0: Inflators for Australian Policy Analysis - diffify
{crmn} 0.0.22: CCMN and Other Normalization Methods for Metabolomics Data - diffify
{sf} 1.1-3: Simple Features for R - diffify
{ggscribe} 1.0.0: Publication-Quality ‘ggplot2’ Annotation - diffify
{ggRandomForests} 3.5.3: Visually Exploring Random Forests - diffify
{ggformula} 2.0.0: Formula Interface to the Grammar of Graphics - diffify
{ggwidth} 0.2.0: Publication-Quality ‘ggplot2’ Geom Width - diffify
{usethis} 3.2.2: Automate Package and Project Setup - diffify
{ragnar} 0.3.1: Retrieval-Augmented Generation (RAG) Workflows - diffify
{flextable} 0.10.1: Functions for Tabular Reporting - diffify
{datawizard} 1.4.0: Easy Data Wrangling and Statistical Transformations - diffify
{HAPTRACE} 0.1.2: Haplotype-Based Tracking of Admixed Population for Breed Composition Estimation - diffify
{datarobot} 2.18.9: ‘DataRobot’ Predictive Modeling API - diffify
{shinyglass} 0.3.0: Liquid Glass Design Themes for ‘shiny’ Applications - diffify
{tidypredict} 1.2.1: Run Predictions Inside the Database - diffify
{survival} 3.8-12: Survival Analysis - diffify
{R.matlab} 3.8.0: Read and Write MAT Files and Call MATLAB from Within R - diffify
{bigalgebra} 3.1.1: ‘BLAS’ and ‘LAPACK’ Routines for Native R Matrices and ‘big.matrix’ Objects - diffify
{aemo} 0.4.2: Download Australian Energy Market Operator Data - diffify
{rurl} 3.0.1: Parse, Clean, and Normalize URLs - diffify

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R Weekly 2026-W38 Tidyomics, safer joins, Positron highlights

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Updated Packages

Videos and Podcasts

R Internationally

R Project Updates

Upcoming Events in 3 Months

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