Prof in Montréal. Most tweets about R: marginaleffects, modelsummary, tinytable, countrycode, altdoc. @vincentab@fosstodon.org https://xitter.cf/t.co/uKmQqTufUL

Montréal
Joined April 2012
Whoa—my book is up for pre-order! Model to meaning: How to interpret Statistical & ML Models in #RStats and #PyData The book presents an ultra-simple and powerful workflow to make sense of ± any model you fit Note: The web version stays free forever. tinyurl.com/4fk56fc8
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Looking for an overleaf alternative? Check out LibrePaper! It's a free writing platform for LaTeX, Typst, Markdown, and HTML. History, comments, track changes, AI, live preview, multi editors, chat, etc. Use the main server or self-host. Still very new, so I need feedback!
please someone vibecode an overleaf replacement
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Vincent Arel-Bundock retweeted
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 👇
I have a new paper. We look at ~all stats articles in political science post-2010 & show that 94% have abstracts that claim to reject a null. Only 2% present only null results. This is hard to explain unless the research process has a filter that only lets rejections through.
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