Out now (open access): Optimal two-time point longitudinal models for estimating individual-level change: Asymptotic insights and practical implications; work with brilliant @emccormick.bsky.socialwww.sciencedirect.com/science/arti...

and I will also mention groundhogr in future talks. Thanks for the pointer.

thanks, @urisohn.bsky.social for the feedback. Yes and yes! I would love to see regularly published default environments (e.g., provided by journals with the requirement that your stats code runs and reproduces within those containers when you submit a manuscript)

Very cool talk by @brandmaier.bsky.socialgithub.com/brandmaier/r...

New paper by LIP colleagues @buchberger.bsky.social@zoengo.bsky.social@brandmaier.bsky.social@markuswb.bsky.social#Neuroskyence#PsychSciSkylink.springer.com/article/10.3...

Estimating statistical power for structural equation models in developmental cognitive science: A tutorial in R - Behavior Research Methods

Determining the compositional structure and dimensionality of psychological constructs lies at the heart of many research questions in developmental science. Structural equation modeling (SEM) provide...

I will definitely check this feature out and point to it in the revision of the manuscript.

Interesting! I haven't migrated to Quarto yet, so I must admit that I missed this feature so far. If _freeze uses JSON, then it's in fact quite similar to reproducibleR chunks for R Markdown. And, you are absolutely right that I can diff the JSON files to manually inspect similarity/dissimilarity.

I understand that freeze is just a caching option but not a reproducibility test. The main benefit here is not the diff between different versions of your code (this just comes as an extra) but really differences in the computed outputs (e.g., due to change in the local computing environment.)

Thx! It's really meant for subseq. execution of the same file but you can also compare different versions if the chunk name and it's variable names remain identical (so somewhat limited). We chose JSON because it's perfect for git. If you rename the file, you would have to rename the meta data files

Verify research reproducibility! 📊Here is our game-changing package for R Markdown. Automatically track meta data about your computational results and verify later reproductions. Say goodbye to irreproducible research gone unnoticed! Preprint: osf.io/preprints/ps...#Rstats