also thanks to @gaborcsardi @maelle for rhub v2, which makes it easy to configure GitHub Actions for crossplatform builds on Linux, macOS and Windows

https://CRAN.R-project.org/package=rhub

#rstats #statsodon #github #jira

I mostly followed the 2nd edition of "R Packages" by @hadleywickham @jennybryan with a few minor tweaks to account for the differences between GitHub and Bitbucket/Jira

https://r-pkgs.org/release.html

I highly recommend this book for anyone who is writing or maintaining R code! #rstats #statsodon

via Andrew Heiss:
Check out this new ultimate guide to multilevel/hierarchical multinomial conjoint analysis with #rstats and {brms}, including how to find both marketing-style predicted market shares *and* polisci-style causal effects *across individual covariates* #bayesian #statsodon … 1/2

#statsodon
https://fediscience.org/@andrew/109383172115998000 (3/3)

{marginaleffects}

https://bayesf22-notebook.classes.andrewheiss.com/bayes-rules/18-chapter.html

#bayesian #statTootstics #statsodon
https://fediscience.org/@andrew/109309578954550262 (2/2)