Reposted by Joe KirincicCarson Sievert (he/him) @cpsievert.bsky.social · 01/10/2026New in querychat: multiple tables, chat history, data-dict, and easy extraction of findings into Quarto, Shiny, Jupyter, etc. querychat is now much more capable beyond just querying "pre-defined" Shiny outputs. Available for both #rstats and #python. opensource.posit.co/blog/2026-09... 1329
Reposted by Joe Kirincicsebffischer.bsky.social @sebffischer.bsky.social · 30/09/2026Yesterday, we released a new version of anvl: github.com/r-xla/anvl. You can use it to implement numerical algorithms in R and run it on CPU and GPU. The R Code is compiled, so you do not have interpreter overhead, and it also allows you to automatically compute gradients #rstatsgithub.comGitHub - r-xla/anvl: Accelerated array computing and code transformations for RAccelerated array computing and code transformations for R - r-xla/anvl 083
Reposted by Joe KirincicDirk Eddelbuettel @eddelbuettel.com · 27/09/2026r^4 post #060: Using bubblewrap for R sandboxing Quick note on agentic R use via bubblewrap dirk.eddelbuettel.com/blog/2026/09... #rstats 093
Reposted by Joe KirincicGrant McDermott @gmcd.bsky.social · 28/09/2026𝐭𝐢𝐧𝐲𝐩𝐥𝐨𝐭 v0.8.0 now available on CRAN 🎉 grantmcdermott.com/tinyplot/ This is another big release: new plot types, finer facet & axis control, smarter handling of categorical data, and lots more. Same tiny footprint, though. Short highlight thread below 🧵 #rstats 13513
Reposted by Joe KirincicDavZim @davzim.bsky.social · 16/09/2026Feedback wanted! I played around with an idea for a pydantic-inspired type-safety system for R called rdantic. So far I am quiet happy with it but I need your feedback: More examples on GH: github.com/davzim/rdantic or on the package website davzim.github.io/rdantic/ #rstats 011
Reposted by Joe KirincicJon Harmon (he/him/his) @jonthegeek.com · 17/09/2026I'll be stalking {stbl} a bit on CRAN and github, but please let me know if you use {stbl}, and if you find anything that could work more smoothly. And I guess it'd probably also be great to hear if you use it painlessly! #RStats #PositConf2026 061
Reposted by Joe KirincicGabor Csardi @gaborcsardi.org · 14/09/2026New beta of #Rstats rig: LOTS of EXCITING stuff: - new: web site: rig.r-lib.org - new: user-mode R installation: rig.r-lib.org/admin-vs-use... - new: manage R packages (CRAN + git): rig.r-lib.org/pkg-guide.html - new: manage R projects and virtual environments: rig.r-lib.org/proj-guide.h...rig.r-lib.orgrig – the R Installation Manager – rig 34919
Reposted by Joe KirincicEmil Hvitfeldt @emilhvitfeldt.bsky.social · 27/08/2026Happy to announce this little release of recipes! This releases comes with a new way to look inside a recipe partway through, a speedup for steps that are applied to many columns, and multi-column support in step_regex() and step_count(). opensource.posit.co/blog/2026-08... #rstats #tidymodelsopensource.posit.corecipes 1.4.0recipes 1.4.0 is now on CRAN. This release adds a `stop_at` argument to `bake()` for inspecting a recipe partway through, makes `prep()` and `bake()` dramatically faster on wide data, and lets… 0126
Reposted by Joe KirincicEdgar @theotheredgar.bsky.social · 27/08/2026📣 New #tidymodels cheatsheet alert! "Model Performance with {yardstick}" is now available in PDF and Web here: opensource.posit.co/resources/ch... #posit #rstats #ml 0236
Reposted by Joe KirincicCharlie Gao @shikokuchuo.net · 26/08/2026Come join me at posit::conf(2026)! We're almost there (Sept 14-16). I'm speaking in the 'from laptop to cluster' session on scaling further and scaling safely for Shiny and other R production workloads. There's a page for everything that's happening: conf.posit.co/2026/sessions/ #Rstats #Rshiny 0111
Reposted by Joe KirincicJem Arnold @jemarnold.bsky.social · 25/08/2026TIL you can print() intermediate objects in the middle of an #rstats pipeline🤯 ``` df |> print() |> process() |> print() |> plot() ``` Just added `return(invisible(x))` to my own print.generics. Very helpful to print a formatted results table and plot at the same time! 2162
Reposted by Joe KirincicCRAN Package Updates Bot @cranberriesfeed.bsky.social · 07/08/2026New CRAN package commons with initial version 0.0.1 #rstats cran.r-project.org/package=commonscran.r-project.orgCRAN: Package commonsImplements large language model agents for answering questions about database tables. Agents combine 'DBI' database connections with table and column metadata from a data dictionary (<<a href="https://data-dict.tidyverse.org/" target="_top">https://data-dict.tidyverse.org/</a>>), using registered calculations when applicable and generating database queries otherwise. They can also be embedded in a 'Shiny' application. 011
Reposted by Joe KirincicEdgar @theotheredgar.bsky.social · 07/08/2026📰 Announcing #tidymodels brand new third cheatsheet! This one is about all the packages that make up #tidymodels, and where in the machine learning workflow they go. HTML and PDF versions found here: opensource.posit.co/resources/ch... #rstats #machinelearning 0418
Reposted by Joe KirincicPosit @posit.co · 03/08/2026dbplyr 2.6.0 is out! 🎈 Streamline SQL generation for #RStats users. New ADBC (Arrow buffers) and JDBC support, `bind_queries()` for UNION ALL, filter_out(), and 50+ fixes. Learn more: opensource.posit.co/blog/2026-06...opensource.posit.codbplyr 2.6.0dbplyr 2.6.0 is now on CRAN, with new ADBC and JDBC backends, IBM DB2 support, more translations, and a bunch of minor fixes and improvements. 0192
Reposted by Joe KirincicOlivier Simard-Casanova @o.simardcasanova.net · 19/07/2026My position on AI consciousness is you should use #Rstats instead of Stata 0121
Reposted by Joe KirincicMaëlle Salmon @masalmon.eu · 17/07/2026Because *I* tend to confuse them... 👽 Mutation testing: you run tests on mutated version of the *code*. E.g. events.digital-research.academy/event/109/co... 🚮 Fuzzy testing: you run tests with all sorts of *inputs* to the code. E.g. events.digital-research.academy/event/109/co... #RStatsevents.digital-research.academyuseR! 2026Call for proposals has ended. Welcome to the event management platform for useR!2026! Here you can register for conference participation and submit abstracts. Please check out the bottom of the page t... 041
Reposted by Joe Kirinciccoolbutuseless @coolbutuseless.bsky.social · 08/07/2026Introducing {rdoom} - Play Doom in #RStats (in time for #UseR2026 !) github.com/coolbutusele... This is a demonstration that {tigerfb} + {nara} can do realtime interactivity in R! Includes: keyboard & mouse control, audio, cheat modes! 410132
Reposted by Joe KirincicJonathan Carroll @jonocarroll.fosstodon.org.ap.brid.gy · 07/07/2026A long shot, but the local opportunities seem a bit thin at the moment. I'm available for hire if you're looking for #rstats package development, maintenance, translation, etc... Need some help implementing a solution? Want to productionise a script into a robust package? Wish a third-party […]fosstodon.orgOriginal post on fosstodon.org 049
Reposted by Joe KirincicJames Balamuta @coatless.bsky.social · 02/07/2026Turn a Shiny app into a desktop app your users just double-click. shinyelectron wraps #rstats or #Python Shiny in Electron and builds a native installer for macOS, Windows, and Linux, with a runtime of your choice (including a fully offline build). Build locally or in CI. #rshiny #pyshiny 3729
Reposted by Joe KirincicR Works @rworks.bsky.social · 01/07/2026323 (!) new #RStats packages were submitted to CRAN in May. Here are @revojoe.bsky.social's Top 40 picks in eighteen categories: Artificial Intelligence, Computational Methods, Ecology, and more. Read here: rworks.dev/posts/may-20...rworks.devMay 2026 Top 40 New CRAN Packages – R WorksA personal, idiosyncratic, unabashedly biased, time-constrained attempt to capture the depth and breadth of the new packages submitted to CRAN in a single month. 082
Reposted by Joe KirincicVincent Arel-Bundock @vincentab.bsky.social · 20/06/2026🎉 Announcing Calepin 🎉 A new tool to create computational notebooks and static websites, built on Typst. Write code and prose directly in your .typ files, then publish them as documents or as a full website. vincentarelbundock.github.io/calepin/ 1/6 🧵 #Rstats #Pydata #Typst 611026
Reposted by Joe KirincicEmil Hvitfeldt @emilhvitfeldt.bsky.social · 16/06/2026Sometimes I'm still in awe at what {orbital} managed to do. The latest release back in March made it s we could finally fit boosted trees directly in your data base! posit.co/blog/deployi... #rstats #tidymodels #dataBS 1123
Reposted by Joe KirincicAleksandra Lazić, PhD @alelazic.bsky.social · 13/06/2026Me at work, every day. #RStats 1469
Reposted by Joe KirincicRLadies+ Bot @rladies-bot.bsky.social · 14/06/2026📝 "180 Decisions A Day" 👤 Cynthia D'Angelo (@cmdangelo.bsky.social) 🔗 cynthiadangelo.com/2024/01/24/180-d… #rladies #rstats #oldiebutgoodie #uncategorized #decisions #diabetes #type1diabetes 031
Reposted by Joe KirincicFrancisco Rodriguez-Sanchez @frodsan.bsky.social · 05/06/2026{duckplyr} is amazing. Retrieve records from a large online database with several million rows in 1 second duckplyr.tidyverse.org #Rstats 2439
Reposted by Joe KirincicR Works @rworks.bsky.social · 01/06/2026An incredible 376 #RStats packages made it on to CRAN in April. Do you want to know which had the most interesting applications, thorough documentation, innovative functions? No need to ask Claude, @revojoe.bsky.social already looked through them all meticulously for you: rworks.dev/posts/april-...rworks.devApril 2026 Top 40 New CRAN Packages – R WorksAn idiosyncratic, unabashedly biased, time-constrained attempt to capture the depth and breadth of the new packages submitted to CRAN in a single month entirely without the use of AI: clearly unsustai... 0124
Reposted by Joe KirincicChris Kenny, PhD @chriskenny.bsky.social · 21/05/2026If you do record linkage in #rstats, I'd love your feedback on irelink: Fast Probabilistic Record Linkage. It is a port of Python's splink package, rewritten with a clean, pipeable R interface. All of the magic happens in a database backend (default is DuckDB) so it's incredibly fast. 2174
Reposted by Joe KirincicR for the Rest of Us @rfortherestofus.com · 18/05/2026Featured on What's New in R this week: ✅ The {realtalk} package for accessing US price indexes in R ✅ A deep dive into atmospheric light simulation for 3D visualizations ✅ {FakeDataR}, a package for generating synthetic data to safely share with AI assistants Read more: buff.ly/sTOfyrH #rstats 062
Reposted by Joe KirincicCharlie Gao @shikokuchuo.net · 12/05/2026Async R gets a proper memory model. mirai 2.7.0 and mori 0.2.0 on CRAN: - byte-level dispatcher queue cap: `daemons(memory = ...)` - non-blocking submit on a full queue: `try_mirai()` - mori out of experimental – zero-copy shared memory across processes opensource.posit.co/blog/2026-05... #rstatsopensource.posit.coA memory model for production async R: mirai 2.7.0 and mori 0.2.0Two CRAN releases extend R's foundations for production async: bounded queues and `try_mirai()` in mirai 2.7.0, plus mori 0.2.0 graduating from experimental status. 04010
Reposted by Joe KirincicDr Di Cook @visnut.bsky.social · 11/05/2026Super excited to get this at my door today! Ursula Laa and my book on exploring high-d data and models is in print! Book website is www.routledge.com/Interactivel... if interested I think my 30% discount code might work for you - msg me. Time to update dicook.github.io/mulgar_book/ too! #rstats 415832
Reposted by Joe KirincicPosit @posit.co · 06/05/2026Announcing posit::glimpse() May 2026! ✨ Key open-source updates for #RStats, #Python, and now #SQL: 📊 ggsql: Grammar of graphics for SQL 🤖 raghilda: Simplified RAG in Python 🔭 Shiny + pointblank: Built-in OpenTelemetry support 🦀 Quarto 2: A Rust-based future Read more: posit.co/blog/2026-05...posit.coposit::glimpse() Newsletter - May 2026We’re introducing new packages like ggsql and raghila, alongside major updates to Quarto and many other open-source packages. 0239
Reposted by Joe KirincicBen Harrap @bharrap.bsky.social · 03/05/2026Should've tagged #rstats too 1122
Reposted by Joe KirincicJan Broder Engler @jbengler.de · 01/05/2026This is how you can preview a subset of the dataset in #tidyplots 🔎 #rstats #dataviz #phd 0101
Reposted by Joe KirincicDr Mircea Zloteanu 🌺🌞🍃 @mzloteanu.bsky.social · 01/05/2026#statstab #524 {simglm}: Tidy simulation and power analyses Thoughts: As your design becomes more complex, simulation is the only way to go. #simulation #r #rstats #tidy #tidyverse #poweranalysis #design #tutorial simglm.brandonlebeau.orgsimglm.brandonlebeau.orgSimulate Models Based on the Generalized Linear ModelSimulates regression models, including both simple regression and generalized linear mixed models with up to three level of nesting. Power simulations that are flexible allowing the specification of m... 0142
Reposted by Joe KirincicEdgar @theotheredgar.bsky.social · 29/04/2026📰 New post alert! Our second #tidymodels cheatsheet is out now! It covers creating models with {parsnip}. We have written a post with an overview of both our current cheatsheets: opensource.posit.co/blog/2026-04... #rstats #DataScienceopensource.posit.cotidymodels CheatsheetsTwo new cheatsheets for Tidymodels are now available: one for creating models with parsnip, and one for preprocessing data with recipes. 0379
Reposted by Joe Kirinciccoolbutuseless @coolbutuseless.bsky.social · 29/04/2026#RStats Playable Doom! Figured out some key handling stuff in my custom graphics device, so I can now actually control the game! Content Warning: I'm not good at doom :) 1123
Reposted by Joe KirincicDerek @dereku.com · 28/04/2026Collapsible + expandable HTML tables with one dependency, baby’s first package #rstats Built with help from Claude 121
Reposted by Joe KirincicR Works @rworks.bsky.social · 27/04/2026Top 40 New CRAN #RStats Packages: an idiosyncratic, unabashedly biased, time-constrained attempt to capture the depth and breadth of the new packages submitted to CRAN in a single month entirely without the use of AI: clearly unsustainable, but maybe entertaining and somewhat useful.rworks.devMarch 2026 Top 40 New CRAN Packages – R WorksAn idiosyncratic, unabashedly biased, time-constrained attempt to capture the depth and breadth of the new packages submitted to CRAN in a single month entirely without the use of AI: clearly unsustai... 0124
Reposted by Joe KirincicCharlie Gao @shikokuchuo.net · 23/04/2026Just released mori 0.1.0 on CRAN — a new R package for shared memory across processes. Parallel R no longer has to mean duplicating your dataset in every worker's RAM. opensource.posit.co/blog/2026-04... 🧵 1/3opensource.posit.comori: Shared memory for R objectsmori is a new R package for sharing R objects across processes via OS-level shared memory. Parallel workers get zero-copy, lazy ALTREP access to the same physical pages — share once, read anywhere. 917662
Reposted by Joe KirincicMwavu Kennedy @mwavu.com · 20/04/2026{hypertext} 1.2.0 is out on CRAN. we've added support for trailing commas in tags. quite a small feature but makes for great UX. check it out: github.com/sigflux/hype... #rstats 1133
Reposted by Joe KirincicJosiah @josiah.rs · 20/04/2026extendr v0.9.0 is release! 🚀 (hopefully) our last until v1.0.0! Improved DX 👨🏻💻 𝙢𝙞𝙜𝙧𝙖𝙩𝙞𝙤𝙣 𝙜𝙪𝙞𝙙𝙚 included! - `anyhow` support out of the box - deprecates `rextendr::document()` use {devtools} only! - use std trait implementations instead of custom methods #rstats #rust extendr.rs/blog/posts/2...extendr.rsextendr v0.9.0 – extendrThis is (hopefully) our last minor release before extendr v1.0.0, focused almost entirely on improved developer experience. 0154
Reposted by Joe KirincicTyler Morgan-Wall @tylermw.com · 18/04/2026Look at how cool this is! 🌳Tarborist now tracks and tags invalidation (and potential invalidation) within your {targets} pipeline and actively updates as you work, so you can get a preview of what's actually going to run before you run tar_make()! #RStats GH: github.com/tylermorganw... 2282
Reposted by Joe KirincicMickaël CANOUIL, Ph.D. @mickael.canouil.fr · 15/04/2026New blog post: Branded Figures and Tables in R and Python with Quarto. Style your figures and tables to match your brand automatically at render time, with light/dark mode support. mickael.canouil.fr/posts/2026-0... #Quarto #Python #RStats #Brandmickael.canouil.frBranded Figures and Tables in R and Python with Quarto – Mickaël CANOUILStyle ggplot2, plotnine, gt, and great_tables outputs using Quarto’s brand feature by reading brand configuration from the QUARTO_EXECUTE_INFO environment variable at render time. 23513
Joe Kirincic @jkirincic.bsky.social · 14/04/2026New post. You built an ML model with {tidymodels} that you want automated in Dagster. Engineering's reply: "Sorry, we need this rewritten in Python to deploy." No more. With the {dagsterpipes} R package, you can run R code in Dagster with full observability. #rstats joekirincic.com/posts/use-r-...joekirincic.comUse R in your Dagster pipelines with {dagsterpipes} – Joe KirincicLearn how R can now be used seamlessly within Dagster projects. 3296
Reposted by Joe KirincicBen Schneider @bschneidr.bsky.social · 11/04/2026Just learned about the {anvil} #rstats 📦, analogous to Jax. Write R code that gets JIT compiled and has easy autodiff. Seems promising for ML and Bayesian methods. r-xla.github.io/anvil/r-xla.github.ioFramework for R code transformationsCode transformation framework for R. 0142
Reposted by Joe Kirincicstatmills.bsky.social @statmills.bsky.social · 07/04/2026I have a new blog post out today that I'm really excited about. I walk through how you can use Gradient Boosting to fit entire vectors of parameters for each observation, not just a single prediction. statmills.com/2026-04-06-g... #pydata #rstatsstatmills.comGradient Boosting ParametersIn this post I’ll walk through how you can use the same principles behind Gradient Boosting Machines (GBM) to predict parameters of models in the same way traditional GBMs predict 1-dimensional target... 142
Reposted by Joe Kirincicnovica @novica.bsky.social · 06/04/2026This was fun. A small page to track all the new R tooling that is popping up. #rstats novica.github.io/r-devs/novica.github.ioNew R Tooling 1152
Reposted by Joe KirincicR Works @rworks.bsky.social · 29/03/2026Discover @revojoe.bsky.social's picks for top #RStats CRAN pkgs released in February, including ✅ quallmer v0.3.0: Tools for AI-assisted qualitative data coding 🏥 nhanesdata v4.1.0: Access to NHANES data 📏 ggInterval v0.2.4: Visualize intervals w/ ggplot2 Read the post: rworks.dev/posts/Feb-20...rworks.devFebruary 2026 Top 40 New CRAN Packages – R WorksAn attempt to capture the depth and breadth of what’s new on CRAN. 096
Reposted by Joe KirincicNicola Rennie @nrennie.bsky.social · 27/03/2026🎉 ggauto is now on CRAN 🎉 An #RStats package that selects better chart types, and provides more accessible styling for #ggplot2 plots 📊 Blog post explaining why I made it and how it works: nrennie.rbind.io/blog/introdu... #DataViznrennie.rbind.ioIntroducing ggauto: automating better charts – Nicola RennieThe ggauto package is an opinionated ggplot2 extension package that aims to help people make better charts by default. This blog post explains why it exists and how it works. 719361
![Stacked area plot of telephones in use by world region, 1956-1961. Code: plt(WorldPhones[-1, ], type = type_area(stack = TRUE, byord = "end"))](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:qww63z2t5rrhniusz5x7gk23/bafkreiaji33hidzzhu2x7eo3zngji5oheftyqugzjkmrsboig5y5e4bclm)
