Max kuhn

@topepo.bsky.social

Writing modeling packages at @posit.co (née RStudio). Opinions are my own. https://max-kuhn.org/

We're happy to announce our new #rstats package: lorax. If you fit tree-based models, lorax enables conversion to the party package's format (for making nice tree diagrams) and has methods to compute which features were used, the number of terminal nodes, etc. opensource.posit.co/blog/2026-07...

Introducing lorax: Speaking for the Tree-Based Models

lorax is a new R package that characterizes fitted tree- and rule-based models: extract their decision rules, see which predictors they actually use, and convert trees for plotting with partykit.

opensource.posit.co

Realizing how much easier my life is now that I can use orbital to deploy my prediction models no need to save artifacts, build ETL pipelines to prep / featurize, github actions to deploy / push, wait times to load initialize and predict I'm in love. #rstats orbital.tidymodels.org

Predict with tidymodels Workflows in Databases

Turn tidymodels workflows into objects containing the sufficient sequential equations to perform predictions. These smaller objects allow for low dependency prediction locally or directly in databases...

orbital.tidymodels.org

Apropos of something I'm working on right now: It's great to use Claude to break down technical walls and perform tasks that you wouldn't have otherwise been capable of. But you MUST still fully understand what you're trying to do and how you (and Claude) are doing it. You need to be driving.

TidyDevDay 2026: bring your laptop, leave with a merged PR, new friends, and sharper R skills! First-time contributor? Perfect. Seasoned developer? Also perfect. opensource.posit.co/blog/2026-06... 📅 Sep 17, Houston, TX, after posit::conf(2026) 🕘 9 am - 4 pm 🎟️ luma.com/pnjuw08h #rstats #tidyverse

Tidy Dev Day 2026

Join us for a full day of collaborative open source work — whether you're a seasoned contributor or making your very first pull request.

opensource.posit.co

I'm excited to announce a long overdue update to {tidyclust}! This release brings support for 3 new model types: DBSCAN, Gaussian mixture, and mean shift models. We also now support parallel processing with {future} and {mirai} opensource.posit.co/blog/2026-06... #rstats #tidymodels #dataBS

tidyclust 0.3.0

tidyclust 0.3.0 is now on CRAN. This release adds support for DBSCAN, Gaussian Mixtures, and Mean Shift Models, plus closer alignment with the tidymodels framework.

opensource.posit.co

I'm getting around to updating the #rstats caret package. No new features is still the rule. The goal is to keep the interface the same while making it much easier to support. Link to the initial plan below; add comments if you have thoughts on improving the upkeep. github.com/topepo/caret...

upkeep plan for summer 2026 · Issue #1418 · topepo/caret

We have a paid intern this year who is interested in helping modernize caret to make support and upkeep easier. The current overall plan of no new features is still in place. We just want to make t...

github.com

Panache v2.52.0 is out! 🚀 A formatter, linter & language server for Quarto, Pandoc & Markdown. New: experimental math formatter (align + whitespace normalization) and hand-written YAML parser & formatter, fully lossless, even hashpipe YAML (Quaro chunk options) https://panache.bz

Panache: Language Server, Formatter, and Linter for Markdown, Quarto, and R Markdown

Panache provides authoring tools for Markdown, Quarto, and R Markdown: a language server, formatter, and linter to help you write better documents, more efficiently.

panache.bz

I've just tried Posit Assistant on the free plan and must say, I'm impressed. Using the super-cheap Gemma 4 26B model (10% cost of Sonnet) on free plan it worked instantly. Hats of to the #posit team for integrating this into RStudio and allowing people to test with free plan!

Bild

"Posit Assistant and NES reflect our learnings from twenty years of building for data scientists and researchers. As the token subsidies end, the differentiator between products becomes more about the value those products provide, and we think we’re ahead in value for the data community."

Simon P. Couch@simonpcouch.com · 3mo ago

Posit AI is $20/mo, most of which goes to model API costs. Does that mean other, subsidized subscriptions provide more tokens at the same price point? @sara-altman.bsky.social and I wrote about the tokenomics of Posit AI and the end of token subsidies: posit.co/blog/posit-a...