Drafts of the first chapters of my brms Book: Applied Bayesian Regression Modelling Using R and Stan are online: paulbuerkner.com/software/brm... Check it out and let me know what you think!

Note however that may override authors' preferred citation, eg compare CRAN-based vs CITATION info for {easyclimate}: cran.r-project.org/package=easy...

If you want to use CRAN DOIs, I think {knitcitations} may be of help, eg. citep("10.32614/CRAN.package.grateful")

{grateful} returns whatever citation("pkg") returns. For packages having multiple references, one must manually remove the unwanted ones (if any). See FAQ: pakillo.github.io/grateful/#so...

#rstatsforum.posit.co/t/dplyr-left...

New data paper in Ecology reporting >10000 #frugivory#CameraTrapsdoi.org/10.1002/ecy....#ecopubs

Two helpful #rstatspins.rstudio.com@posit.codocs.ropensci.org/piggyback/@cboettig.bsky.social also allows sharing large datasets through GitHub releases

Pin, Discover and Share Resources

Publish data sets, models, and other R objects, making it easy to share them across projects and with your colleagues. You can pin objects to a variety of "boards", including local folders (to...

5/ It's also possible to include recursive dependencies of the used packages, to make credit transitive: cite_packages(dependencies = TRUE) Please check the website for more info and FAQs: pakillo.github.io/grateful/

4/ {grateful} can also be used with #Rmarkdown#QuartoPubgithub.com/Pakillo/grat...

3/ This citation report can be generated in HTML, PDF, Word, LaTeX, Markdown... References can be formatted automatically for any journal, eg. cite_packages(citation. style = "peerj")