𝐭𝐢𝐧𝐲𝐩𝐥𝐨𝐭 v0.7.0 now available on CRAN 🎉 This is big release, with loads of new features. Same tiny footprint, though ;-) Short highlight thread below, borrowing examples from our gallery: grantmcdermott.com/tinyplot/vig...

Can you guess a country by looking at its Greenhouse Gas emissions? It's hard!! climatle.xyz shows you the country's worst sectors, electricity mix, and its GHG trajectory over time. You get 6 guesses and geographic hints after every bad guess. h/t the great Sam Rowan

What can surveys miss when respondents choose the same answer option? In this pre-print, we argue that public opinion research needs not only to know where respondents stand, but how they think. AI Conversational Interviewing is one way to make that observable at scale

🎉 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

Today I visited LG2, Canada's largest hydro-electric dam. The selfie (sorry!) shows the "Staircase of the Giants." It's an iconic angle every Québecois has seen, but it's hard to convey scale. The 2nd pic is from the top, showing just how big just the first step is. What an amazing day! #hydroquebec

I highly recommend this very clear, helpful and practical paper on statistical inference with marginaleffects package. I added it to my lab’s “required reading” list.

I worry that initiatives like this will break pro-social norms. Willingness to give feedback generously is one of the most beautiful things in our community. Plus, universities pay profs with the understanding that this is part of the job description, so the idea we do this for "free" is laughable.

Incentives to reproduce and replicate articles are so bad. Even when your comment leads to the retraction of a PLOS One article, the reward is a (10 days late) email with a thank you at the bottom. Retraction notice: journals.plos.org/plosone/arti.... But we are not complaining about PLOS One 🧵

I teach marginaleffects in my intro stats class at Berkeley public health. I've heard some pushback that students don't learn how to eg exponentiate a coefficient from a logistic regression. They don't understand this is a feature and not a bug. Keep up the good work @vincentab.bsky.social

I’ve grown super worried about LLM agents w/ access to all my files and secrets. Existing sandboxes and containers felt hard to use day-to-day, so I built a small convenient utility to keep agents away from important stuff. It’s called “bulle” (for “bubble”). 1/2 vincentarelbundock.github.io/bulle

Next week!

In "Uncertainty in Bayesian leave-one-out cross-validation based model comparison" doi.org/10.1214/25-B... we showed when LOO-CV elpd_diff and se_diff normal approximation uncertainty quantification in model comparison is well calibrated. We have now merged a related PR to loo R package 1/

Long tables that wont fit on a page? In tinytable by @vincentab.bsky.social you can rotate tables with theme_rotate(). Game changer!

We have a new version of this paper out. The headline results are the same—political science must filter results heavily for statistical significance—but we've added many extensions and rewritten much of it in response to feedback (thank you!). A quick thread on updates 👇

Super 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

The newest release of Posit Assistant, an agent for coding and data analysis, includes a "data cleaning mode." When enabled, the agent will run quality checks and surface decisions about e.g. import issues, factor levels, etc to the user. In the AI Newsletter: opensource.posit.co/blog/2026-05...

It is **extremely** cool to see {marginaleffects} for #RStats used in fields I know nothing about. Here's a fun analysis of how often people use “um” and “uh” in speech.

It has arrived @vincentab.bsky.social Perfect sabbatical reading for next semester and will have to think about how I will weave marginaleffects, emmeans, and @easystats.github.io together for teaching next year...

🎂 Happy 50th Birthday S (and #rstats)!

Do you know a good framework to document data analysis choices? Ex: dropping obs, recoding a var, tuning pars, model + test statistics, etc. Ideally human-readable so people don't have to read my entire codebase. Low-maintenance+ machine-readable for bonus points! #RStats #PyData

R version 4.6.0 "Because it was There" (source version) has been released. It should be on CRAN by now. #rstats The choice of codename is in remembrance of R Core member Tomàš Kalibera (1978-2026). Among many other things, he was a keen mountain climber.

I'm really excited to teach this workshop again in May. The best part is always interacting with smart, engaged participants, and I'd love to have you on board! Let me know if you're curious and have any questions.

It's out, everyone. It's out! Julia is one of the most brilliant translational methodologists I know, and it was a real honor to work with her on this paper. Please let us know if you have any questions or feedback! (BTW, I'm a psychologist now?)

🚨 #RStats and #PyData devs! I'm looking for β testers for this thing I just built: A unified dashboard + orchestrator for code and data quality checks. It has lots of neat features and I'm super eager for feedback and bug reports. Check out the video demo: vincentarelbundock.github.io/scrutin/

The great @eddelbuettel.com invited me to his STAT447 class at the University of Illinois. If you'd like to hear me speak about the interpretation of statistical models in #RStats, using the {marginaleffects} 📦, check out the video! www.youtube.com/watch?v=v3TX...

April 2026 will bring a new #Ubuntu 26.04, a new #Rstats release 4.6.0 and a new #BioConductor 3.23. And ... as the "future is unevenly distributed" we already have #r2u running 26.04. See 'zero to tidyverse': 10 sec, 107 files, 1 command. #r2u. Fast. East. Reliable. Pick All Three.

This looks like a great resource!

🧵1/ Our first meta-science paper (with 350+ coauthors) is published today in Nature. It presents one of the largest-ever reproducibility projects in economics & political science. Here’s what we found 👇

#rstats I'm glad to announce Jarl 0.5.0! Jarl is a very fast R linter, written in Rust. This release brings many improvements and fixes. See the blog post: www.etiennebacher.com/posts/2026-0... And the full changelog: jarl.etiennebacher.com/changelog 🧵 to highlight some features below (1/4)

I've been working on something fun! When you process #QuartoPub notebooks at sub-millisecond speed, you get *instant* previews as you type, and you can render massive websites in mere seconds. 🤯🚀 #Quarto #RStats

Statistical Rethinking 2026 is done: 20 new lectures emphasizing logical and critical statistical workflow, from basics of probability theory to causal inference to reliable computation to sensitivity. It's all free, made just for you. Lecture list and links: github.com/rmcelreath/s...

How much does it pay to publish an open access academic book? Read this thread for my story and 💲💰 amounts. 🧵 www.routledge.com/9781032908724

I have been using the book in my data analytics class since 2021 and it is great. I am particularly excited about the fact that the new version is using the `marginaleffects` package for the Working with models chapter

1/ Sorry for double-posting from X. Sharing a new working paper for the Year of the Horce 🐎: "An AI-assisted workflow that scales reproducibility in empirical research" (bit.ly/repro-ai) w/ Leo Yang Yang

I wrote a #RStats wrapper around the Hydra config management system. It's a super powerful and convenient tool to organize and use configs like keys, tuning parameters, paths, etc. I'd love it if you could tell me what works well and what doesn't. Thanks! vincentarelbundock.github.io/hydraR

Noah is an *excellent* R package developer. This looks very interesting.

This is the most current one! I'm on team {tinytable} for pretty much everything nowadays

You can now use LLMs to learn about any chapter of my 𝑀𝑜𝑑𝑒𝑙 𝑡𝑜 𝑀𝑒𝑎𝑛𝑖𝑛𝑔 book, or any function in the `marginaleffects` package for R or Python. Check out the cool demo video below (sound on). Install here: github.com/vincentarelb... #marginaleffects #RStats #pydata

"Model to Meaning" just received a super generous review in JASA. Check it out! (I'm blushing 😊) Reminder: You can get the paper copy from CRC, and the full **free** version will remain online forever at marginaleffects.com www.tandfonline.com/doi/full/10....

We actually show in the model that because our best estimates of statistical power are fairly low, even if literally 100% of our hypotheses are in fact correct we still must have extreme selection against nulls

Check out the new paper! And please please please send us both gut reactions and harsh criticism.

New preprint! So, what's a multiverse analysis good for anyway?> With @jessicahullman.bsky.social and @statmodeling.bsky.social juliarohrer.com/wp-content/u...

🚨 GAMs have moved on—so it’s time for an update. On March 3, 2026 (17:00–19:00 CET) I’ll be livestreaming an updated introduction to Generalized Additive Models in R 📺 YouTube livestream link: youtube.com/live/A9U8e1K... #RStats #mgcv #GAMs #gratia #statistics 🧪

One of the most important statistical packages made in Econ in the last decade

Things are grim. But in more frivolous news... @jamesbrandecon.bsky.social and I have been chipping away at `dbreg`, a 📦 for running big regression models on database backends. For the right kinds of problems, the speed-ups are near magical. Website: grantmcdermott.com/dbreg/ #rstats [1/2]

Finished teaching my new Advance Stats for Psych graduate course today with a heavy emphasis on both DAGs and shifting away from coefficient interpretation and towards models as prediction machines. Both went great! The latter was extremely helpful for logistic regression (for obvious reasons 😵‍💫)!

My poster got allocated prime real estate at the conference: High traffic, captive audience.

There is a new-ish Python package, moderndid, that implements almost all of the "modern" DiD estimators: github.com/jordandekler...