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New paper on "Intersectional inequalities in health anxiety" published, using the MAIHDA approach: frontiersin.org/journals/publi…

And another new paper about "Political party affiliation, social identity cues, and attitudes about protective mask-wearing during the pandemic", combining quantitative and qualitative methods: dx.plos.org/10.1371/journa…

My download folder...

Are you working with mixed (multilevel) models in #rstats and wondering how to calculate R2? Grab the latest updates of our #easystats {performance} and {insight} packages from CRAN and try out "r2_nakagawa()" (or simply "r2()" for mixed model): easystats.github.io/performance/re… /1

Just discovered the #rstats {ggdag} package, which is really cool! So easy to create, visualize and test DAGs using familiar intuitive R syntax: r-causal.github.io/ggdag/

A new feature that *might* be added to our #rstats #easystats packages soon: checking models for correct adjustment by using DAGs! `check_dag()` (working title) makes it so easy to check the causal paths of your model and tells you how to address misspecifications!

This looks good! If you're interested in testing this feature, try `install.packages(c("performance", "see"), repos = "easystats.r-universe.dev")`. #rstats #easystats

The function was improved and now can deal with multiple possible adjustment sets #DAG #rstats #easystats Check out at easystats.github.io/performance/re…

Always remember to run `easystats::install_latest()` every now and then, to grab the latest cool features of the the #easystats-verse! And the package documentations are always worth reading,e.g. easystats.github.io/bayestestR/ :-) #rstats

This wins the internet 🤣

Some nice people made a podcast about a function in the #easystats {parameters} package: youtube.com/watch?v=CFmAPB… 😎 #rstats

"We ask, how compatible is a slightly lopsided, maybe a tad overbaked caked with the idea of delicious?" - explaining compatibility intervals and p-values in layman's terms. youtube.com/clip/UgkxPAyTM…

Multivariable Logistic Regression in R: The Ultimate Masterclass (4K)! youtu.be/EIR9zN0tDPw #rstats #statistics #dataanalysis #stats #datascience #r4ds

youtu.be/AismeL7m1Is

New update to {bayestestR} expands support for a tidy workflow - working better with tidy inputs, `rvar`s, and post-modeling estimates, and generating tidy outputs! easystats #rstats 🧵 easystats.github.io/bayestestR/

Which of the following information below model output (last paragraph, not that one about uncertainty intervals) do you find useful/helpful and think it's worth printing? It's printed once per session. Should some/all information moved into the docs, or kept in output? #easystats

youtube.com/watch?v=x2LhYb…

Head over to Blue sky: bsky.app/profile/streng… Will reduce activity here...