Michael Clark

This has mostly been implemented, but the tests check only for data.frame, and I've been bitten by that at least once. - [ ] For basic functionality tests, check for...

##### Extract Variance Components - [x] lme4 - [x] glmmTMB - [x] nlme - [x] brms - [x] rstanarm - [x] mgcv - [ ] gpboost ##### Extract Random Effects...

gpboost seems like a viable package for fast mixed models conducted on large data, possibly for nonlinear effects. For standard mixed models, it'd be nice to have the usual summaries...

Code, links, and various points of content could use an update. Some images are not shown as well. This may require a possible overhaul to the MLR or tidymodels approach,...

Reminder to reorg docs page. Current thoughts are separation into in-depth/bookdown stuff, simpler docs, posts. Don't imply date ordering. May need to apply similar reorg to workshops also.

This might work but current package development seems to add hassle rather than making easier.

Not sure these add anything over plolty and other html_widget options. But revisit before workshop. Also altair should be demoed for python notebook.

Reorg

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The following only covers reorganization, not outright trimming **PART I** - [x] Move all the shap and related discussion to model exploration - [x] Move model list in LM chapter...

GLM chap suggestions

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Summary of thoughts from a [twitter thread](https://twitter.com/IsabellaGhement/status/1779537903317848101) 1. Can it be made clearer that GLMs model the conditional distribution of Y given X (as opposed to the marginal distribution of...

Where can we best advise on things not to do?

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It would be useful in particular chapters or as part of the 'misc/more models chapter' to have some kindly worded "don't do this" or or otherwise problematic stuff. For example,...