{ordered}: a #tidymodels extension for ordinal classification / ordinal regression models is now on CRAN!

I loved digging into and tinkering with the tidymodels infrastructure to get this initial version up and running. If you want {ordered} to accommodate your favorite model-fitting engine, please open an issue and be ready to chat through it. : )

CRAN link:
https://cran.r-project.org/web/packages/ordered/index.html
Source code:
https://github.com/corybrunson/ordered

ordered: 'parsnip' Engines and Wrappers for Ordinal Classification Models

Bindings, methods, and tuners for using ordinal classification models with the 'parsnip' and 'dials' packages. These include the regularized elastic net ordinal regression of Wurm, Hanlon, and Rathouz (2021) <<a href="https://doi.org/10.18637%2Fjss.v099.i06" target="_top">doi:10.18637/jss.v099.i06</a>> in 'ordinalNet', the ordinal classification trees of Galimberti, Soffritti, and Di Maso (2012) <<a href="https://doi.org/10.18637%2Fjss.v047.i10" target="_top">doi:10.18637/jss.v047.i10</a>> in 'rpartScore', and the latent variable ordinal forests of Hornung (2020) <<a href="https://doi.org/10.1007%2Fs00357-018-9302-x" target="_top">doi:10.1007/s00357-018-9302-x</a>> in 'ordinalForest'.

New post with @joshuamarie: Bayesian Neural Networks in {tidymodels} with {kindling} 🔥

BNNs learn weight distributions instead of fixed values — giving uncertainty estimates alongside predictions, all within a standard {tidymodels} workflow.

👉 https://statsandr.com/blog/bayesian-neural-networks-in-tidymodels-with-kindling/

#rstats #tidymodels #MachineLearning #DataScience

Bayesian Neural Networks in {tidymodels} with {kindling}

Showcasing the versatility of the `{kindling}` R package.

Stats and R

✨ Introduction to tidymodels

🗓 March 27, 2026 | ⏰ 9:30–11:00 AM (PHT)
🎤 Emil Hvitfeldt | 💻 Zoom (link after RSVP)

🔗 Register: https://www.meetup.com/r-nvsu/events/313596851/

#RStats #tidyverse #tidymodels #datascience

Introduction to tidymodels, Fri, Mar 27, 2026, 9:30 AM | Meetup

Learn how to build machine learning and statistical models in R using [tidymodels](https://www.tidymodels.org). Tidymodels is a a collection of packages designed for modeli

Meetup

🚀 New blog post live!

Together with @joshuamarie, we explore how to do more with neural networks in R using {kindling}, a higher-level interface to {torch} that makes building, training & tuning deep learning models smoother (and tidymodels-friendly)

👉 https://statsandr.com/blog/you-can-do-more-for-neural-networks-in-r-with-kindling/

#rstats #deeplearning #tidymodels #torchr

You can do more for neural networks in R with {kindling}

A practical collaborative post on using {kindling} for neural networks in R, with reproducible workflows, realistic examples, and honest trade-offs.

Stats and R

They did it. By golly gosh, they finally did it.

#RStats #tidymodels

rOpenSci will be participating in @latinr_conf!

Here is the key data for your participation:

🎙️ Keynotes

- Heather Turner: Lowering Barriers to Contributing to R.

- Stephanie Zimmer: Transforming a team to open-source first.

- TRACE-LAC Team. Lo invisible del código abierto: Lecciones desde el proyecto TRACE-LAC / Epiverso para conectar el desarrollo de software con la salud pública

🎓 Tutorials by rOpenSci members:

📌 ¡Miércoles, Git! Manejo de errores en Git y no morir en el intento — @maelle , @yabellini. Registration: https://www.eventbrite.cl/e/miercoles-git-manejo-de-errores-en-git-y-no-morir-en-el-intento-tickets-1937068908249

📌 Introducción a #Tidymodels — Francisco Cardozo & Edgar Ruiz. Registration: https://www.eventbrite.cl/e/introducion-a-tidymodels-tickets-1962543491413

📌 Automatización de workflows en R y Python con #targets y #Snakemake — Diana García. Registration: https://www.eventbrite.cl/e/automatizacion-de-workflows-en-r-y-python-con-targets-y-snakemake-tickets-1936131664929

📌 ¿Qué historia vas a contar hoy Herramientas para una comunicación eficaz — Alejandra Bellini. Registration: https://www.eventbrite.cl/e/que-historia-vas-a-contar-hoy-herramientas-para-una-comunicacion-eficaz-tickets-1891497192019

📌 Coding with #AI in RStudio — Juan Cruz Rodríguez & @LuisDVerde. Registration: https://www.eventbrite.cl/e/coding-with-ai-in-rstudio-tickets-1962817615325

List with all tutorials here: https://latinr.org/en/

#RStats #RStatsES #openScience #RSE #OpenData #FOSS #DataScience #Analytics

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¡Miércoles, Git! Manejo de errores en Git y no morir en el intento

Taller práctico para aprender a resolver 7 errores comunes (y de miércoles) en Git y ganar confianza desde R.

Eventbrite

🤖 Introducción a Tidymodels
Aprendé a usar el ecosistema tidymodels para crear y evaluar modelos de ML en #RStats
Con Francisco Cardozo y Edgar Ruiz

📅 1 Dic, 18:00–20:00 UTC-3 – Online
💵 Estudiantes USD 5 · Académicos USD 10 · Industria USD 15
🔗 https://www.eventbrite.com.ar/e/1962543491413

#LatinR2025 #Tidymodels #MachineLearning

@jeremy-data.bsky.social biology based on #bioconductor (and I’m a BioJava contributor) - also model building in health informatics (I’d use #tidymodels and #vetiver now) vs Python
I'm looking for a co-author to re-work my tidyAML package #GitHub github.com/spsanderson/... #RStats #parsnip #tidymodels Anyone interested?

GitHub - spsanderson/tidyAML: ...
GitHub - spsanderson/tidyAML: Auto ML for the tidyverse

Auto ML for the tidyverse. Contribute to spsanderson/tidyAML development by creating an account on GitHub.

GitHub
I have recently been enjoying using Gemini 2.5 Pro in Google AI Studio instead of Stack Exchange  . The large context window (1M tokens) and the ability to set the temperature to 0, meaning NO CREATIVITY, make this LLM a very good tool for RAG when communicating with your own materials. For example, I recently had a small question about the applicability of a ridge regression model that I trained in #RStats using the #tidymodels framework some years ago.