Working on a project where RAs/LLMs extract information from social science tables. Big challenge is identifying whether we're talking about the same model. Does anyone have good ideas to systematically know whether 2 coders are talking about the same model in a table?

New #Rstats tutorial: How to Interpret Interactions, Polynomials, and Splines with {marginaleffects} I'd love to get feeback on this one. It's the first draft of what could become one of the "recipe" chapters in the book. marginaleffects.com/vignettes/inte…

This is an amazing tutorial on GAMs

New book up! solomon.quarto.pub/sr2rstan/ This is the #rstan sibling to my #brms translation of Richard McElreath 🦔's 2nd edition. This 0.0.1 version has drafts of Chapters 1 through 8. 1/5

Did you know that Vincent Arel-Bundock has put together a massive database of real datasets that are available in R packages? They span many disciplines. Check out the website here: vincentarelbundock.github.io/Rdatasets/inde… Check out the list of available datasets here: vincentarelbundock.github.io/Rdatasets/arti…

workflow tip if you use modelsummary: coef_rename is fine with there being variables that aren't in the model, it just ignores them, and it can take objects in the environment as input. define a coef_rename object with everything you'll need rather than specifying for each model.

It makes me **very** happy when my awesome friends get recognized for their awesomeness. 🧙‍♀️🧙‍♂️

Worth observing that these people would be just as dead if it was p-hacking or other questionable-but-not-outright-fraudulent research practices that created the incorrect result

Publishing is hard. Congrats to Ryan for his perseverance and for a fantastic outcome!

I've been extensively using Vincent Arel-Bundock {modelsummary} R package for both teaching and research and it is a delight. But I'm here to recommend this presentation of {marginaleffects}, a beautiful approach to interpreting model estimates: youtube.com/watch?v=ANDC_k…

In certain parts of psychology, statistical modeling is an arcane art that requires intimate familiarity with contraptions known mostly by their acronyms (CLPM, RICLPM, ARTS, STARTS, LGCM...). Let's mix things up by putting substance first instead.

NEW to {bayestestR} dev version - support for #marginaleffects! Take it for a test drive: remotes::install_github("easystats/bayestestR") easystats #rstats