R Weekly 2026-W46 Mizu, MCP, Modelling
This week’s release was curated by Jonathan Carroll, with help from the R Weekly team members and contributors.
Highlight
Insights
- Interactive, reproducible figures inside teal
- SAS to R: Why R, and Where Your Migration Budget Should Go
- Agents in Production: Build Your First AI Agent in R with {ellmer}
- R Consortium Awards Second Round of 2026 Technical Grants
- Postal codes and tessellations
- Bring your own agent to Positron with the Positron MCP
- posit::glimpse() Newsletter – November 2026
- What’s New in R: November 2, 2026
- mizu: thread-speed parallel R and Python over shared memory
- 30DayMapChallenge 2026

- A histogram of lifts is not an effect estimate
- Modelling cell-type proportions in repeated-measures designs with sccomp: a TMA case study
- Nuclei, five years later: what a mean Dice hides
- Environmental modelling in your web browser
- Shrink stored models with butcher
- Stratified Modeling for Imbalanced Data
- rplatypus rebuilt: deep learning for medical images in R
- YouTube monetization signals by country
R Users
- Kindness, Curiosity, and Kitties: A rOpenSci 15th Anniversary Interview with Mo
- Carolina Pradier, rOpenSci champion and mentor
R in Organizations
Tutorials
-
How to Run R Code Online (No RStudio, No Install) - Run R 4.6 in the browser with webR: built-in datasets, a linear model, reading stdin and fixing common R errors.
-
R market data API: OHLCV to xts with httr2 - Cursor pagination and OHLCV-to-xts conversion in R.
Resources
New Packages
📦 Keep up to date wtih CRANberries 📦
- {ggindex} 0.1.1: marks selected points of a ggplot2 plot with numbered markers and explains the numbers in a legend, as on an annotated map.
CRAN
- {mizu} 0.1.0: Thread-Speed Async and Parallel R over Shared Memory
- {s3pe} 0.3.0: A Small, Dependable Client for S3 Object Stores
- {testmath} 0.1.0: Unit Tests for Mathematical Properties
- {zutoml} 0.1.0: Read and Write ‘TOML’ Documents
- {gpmapr} 1.0.0: Query the ‘OpenGWAS’ Genotype-Phenotype Map
- {vulnr} 0.1.0: Scan R Packages for Vulnerabilities
- {surviveR} 1.0.0: Tidyverse-Based Reliability and Survival Data Visualization Tool
- {stlpro} 0.1.0: STL with Extended Capabilities
- {apastats2} 1.1.0: Statistical Results in APA Style
- {ggindex} 0.1.1: Numbered Focus Points for ‘ggplot2’ Plots
- {rplatypus} 0.2.1: Computer Vision for Medical Imaging
- {shiny.element} 0.3.1: ‘Element Plus’ Components for ‘shiny’
- {quartodown} 0.1.0: Package Websites Built Entirely with ‘Quarto’
- {glmheaders} 1.0.1-2: ‘OpenGL Mathematics’ ‘C++’ Headers
- {SexSeek} 0.1.0: Estimate Genetic Sex from Expression Counts
- {sas2r} 0.5.8: Translate ‘SAS’ Programs to R with Dependency-Aware Migration
- {superstats} 1.0: Super Statistics
- {relm} 0.6.2: Local Large Language Models as Base-R Objects
Updated Packages
- myman 0.13.0 on CRAN: Another wave!
- {stability} 0.6.0: Stability Analysis of Genotype by Environment Interaction (GEI) - diffify
- {Seurat} 5.6.0: Tools for Single Cell Genomics - diffify
- {charr} 0.2.0: String Processing Reimagined for ‘ALTREP’ Strings - diffify
- {charport} 0.2.0: ALTREP String Interoperability - diffify
- {dataspice} 1.2.1: Create Lightweight Schema.org Descriptions of Data - diffify
- {tsutils} 0.9.5: Time Series Exploration, Modelling and Forecasting - diffify
- {tidyterra} 1.3.1: ‘tidyverse’ Methods and ‘ggplot2’ Helpers for ‘terra’ Objects - diffify
- {beepr} 2.0.1: Easily Play Notification Sounds on any Platform - diffify
- {rcosmo} 1.1.6: Cosmic Microwave Background Data Analysis - diffify
- {plotthis} 0.14.1: High-Level Plotting Built Upon ‘ggplot2’ and Other Plotting Packages - diffify
- {oddsapiio} 0.2.0: Client for the ‘Odds-API.io’ Sports Betting Odds API - diffify
- {funcml} 0.9.6: Functional Machine Learning Framework - diffify
- {rkriging} 1.1.0: Kriging Modeling - diffify
- {cppally} 1.2.1: A ‘C++20’ API for R - diffify
- {rcxl} 0.1.2: Read xlsx Files with a Native Parser - diffify
- {mRpostman} 3.0.1: An IMAP Client for R - diffify
- {lorax} 0.2.0: Speak for the Trees - diffify
- {RaceID} 0.4.3: Identification of Cell Types, Inference of Lineage Trees, and Prediction of Noise Dynamics from Single-Cell RNA-Seq Data - diffify
- {gtfstools} 2.0.1: General Transit Feed Specification (GTFS) Editing and Analysing Tools - diffify
- {RZooRoH} 0.4.3: Partitioning of Individual Autozygosity into Multiple Homozygous-by-Descent Classes - diffify
- {liteq} 1.2.0: Lightweight Portable Message Queue Using ‘SQLite’ - diffify
- {brotli} 1.4.0: A Compression Format Optimized for the Web - diffify
- {otelsdk} 0.3.0: R SDK and Exporters for OpenTelemetry - diffify
- {tuber} 3.0.0: Client for the YouTube Data API - diffify
- {tidyweather} 0.3.4: Analysis the Weather Data for Agriculture - diffify
- {ggtangle} 0.1.5: Draw Network with Data - diffify
- {tidyEmoji} 0.6.0: Discover, Count, Categorise, Score, Translate and Relate Emoji in Text - diffify
- {omicsTools} 2.0.0: Omics Data Processing Toolbox - diffify
- {PheValuator} 2.2.19: Rapid Phenotype Evaluation - diffify
- {ddplot} 0.2.0: Create D3 Based SVG Graphics - diffify
- {encharter} 0.13: Enhanced Office Open XML Charting for ‘openxlsx2’ - diffify
- {mizu} 0.1.0: Thread-Speed ‘Async’ and Parallel R over Shared Memory - diffify
- {OmopIndices} 0.3.0: Patient-Level Indices from the OMOP Common Data Model - diffify
- {hdf5lib} 2.2.0.1: Headers and Static Libraries for ‘HDF5’ - diffify
- {Rmpi} 0.7-4.1: Interface (Wrapper) to MPI (Message-Passing Interface) - diffify
- {mlr3fda} 0.8.0: Extending ‘mlr3’ to Functional Data Analysis - diffify
- {bizdays} 1.0.18: Business Days Calculations and Utilities - diffify
- {ds4psy} 1.4.0: Data Science for Psychologists - diffify
- {datawizard} 1.5.0: Easy Data Wrangling and Statistical Transformations - diffify
- {ggforestplotR} 0.6.0: Publication-Ready Forest Plots with ‘ggplot2’ - diffify
Videos and Podcasts
R Internationally
R Project Updates
Updates from R Core:
Upcoming Events in 3 Months
Events in 3 Months:
Datasets
- NBA win probabilities in FiveThirtyEight’s nba_elo layout: FiveThirtyEight’s
nba_elo.csvnow redirects to ABC News. Internet Archive copies of the old files, and a free CC BY 4.0 CSV of the current NBA season in the same columns, withreadr::read_csv()code.
Connect
Join the Data Science Learning Community
Quotes of the Week
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