home.msbstats.info
(He/Him)
Statistics lecturer, freelance stats consultant, & #rstats dev @easystats.bsky.social 📊
I try to help social scientists make better inferences from their data & communicate their findings 👨🏫
Hope to bring the #stats twitter/R community vibes over to bsky!
statmodeling.stat.columbia.edu/2025/11/24/s...
statmodeling.stat.columbia.edu/2025/11/24/s...
So then I wanted to be an experimental psychologist,but when I started my MA I discovered statistics.
Then someone on a stats FB group asked if I provide consultation services,& here I am 10 yrs later.
So then I wanted to be an experimental psychologist,but when I started my MA I discovered statistics.
Then someone on a stats FB group asked if I provide consultation services,& here I am 10 yrs later.
👇you can find more info on how you can help & a detailed report.
All info on workshops: bit.ly/3wBeY4S 1/n
👇you can find more info on how you can help & a detailed report.
All info on workshops: bit.ly/3wBeY4S 1/n
Jarl is a CLI tool with extensions in VS Code, Positron, and Zed. It can check thousands of lines of R code in milliseconds.
Jarl provides several output formats, a Github Actions workflow, and more.
Blog post: www.etiennebacher.com/posts/2025-1...
Jarl is a CLI tool with extensions in VS Code, Positron, and Zed. It can check thousands of lines of R code in milliseconds.
Jarl provides several output formats, a Github Actions workflow, and more.
Blog post: www.etiennebacher.com/posts/2025-1...
So maybe that's the difference between data science and #stats? 🤷♂️
So maybe that's the difference between data science and #stats? 🤷♂️
Makes me proud to be an R user.
Makes me proud to be an R user.
We now finally provide cmdstanr support (!) plus Monte Carlo Standard Error (MCSE), both thx to Giorgio Micaletto and @avehtari.bsky.social!
We now finally provide cmdstanr support (!) plus Monte Carlo Standard Error (MCSE), both thx to Giorgio Micaletto and @avehtari.bsky.social!
#rstats
juliasilge.github.io/tidytext/ref...
#rstats
juliasilge.github.io/tidytext/ref...
Counterintuitively - being on the logit scale, this is actually translates to a **strong** prior that p(y=1) is near 1 or near 0.
Always check your priors!
#rstats
Counterintuitively - being on the logit scale, this is actually translates to a **strong** prior that p(y=1) is near 1 or near 0.
Always check your priors!
#rstats
Also, this is why you use R for statistics...
(and of course the correct CI method is bayes 😎)
Also, this is why you use R for statistics...
(and of course the correct CI method is bayes 😎)
blog.genesmindsmachines.com/p/python-is-...
blog.genesmindsmachines.com/p/python-is-...
ATE, DAGs, confounder selection, table 1 & 2 fallacies, collider bias, ...
What else should I squeeze in there?
ATE, DAGs, confounder selection, table 1 & 2 fallacies, collider bias, ...
What else should I squeeze in there?
*Maybe?
#stats
random.tastemaker.design
*Maybe?
#stats
random.tastemaker.design
Slides & code available here: github.com/benjamin-ros...
#Rstats
Slides & code available here: github.com/benjamin-ros...
#Rstats