search

cran-task-views / MixedModels

CRAN Task View: Mixed, Multilevel, and Hierarchical Models in R
https://CRAN.R-project.org/view=MixedModels
27 stars 9 forks source link

Some suggestions (location-scale models, missing values, mbest, and information-theoretic methods) #14

Closed wviechtb closed 2 years ago

wviechtb commented 2 years ago

The proposal is excellent! A mixed models task view is long overdue, I suspect in part since it's a rather substantial task. So thank you for tackling this.

One thing that immediately comes to mind is location-scale models, like Hedeker's stuff (e.g., https://doi.org/10.18637/jss.v052.i12) except that MIXREGLS isn't an R package (but could link to it under Other/Links: https://voices.uchicago.edu/hedeker/mixwild_mixregls/). But glmmTMB allows this via the dispformula argument for the error variance / dispersion parameter. I am not aware of any packages that also allow scale modeling of other variance components, but one might cobble something together via OpenMx. In any case, I think location-scale models should fall under Specialized models and glmmTMB should be mentioned there.

Under Missing values, I would also mention mice there since it can do some multilevel imputation stuff. Also, JointAI and mdmb should be mentioned here as packages that go beyond the mice capabilities for mixed effects models.

Also, package mbest should be added. It fits hierarchical models using moment-based estimation. Could mention this under the Frequentist packages (it also does GLMMs), or alternatively under Specialized models but it's not really a different model per se, just an alternative to maximum likelihood estimation.

Since the group of people working with mixed effects models overlaps with people who may want to do model selection via information-theoretic methods, it might be worth mentioning packages like glmulti and MuMIn as well.

bbolker commented 2 years ago

I think these are all added. Please take a quick look and check/see if they seem to be added appropriately? Thanks!

wviechtb commented 2 years ago

Looks good!

This one is also for location-scale models: https://cran.r-project.org/package=LMMELSM It is current archived, but should hopefully be revived soon.

bbolker commented 2 years ago

We should keep a list somewhere of "currently archived but useful if restored" and check it periodically with available.packages() ...

wviechtb commented 2 years ago

Also gam() from mgcv with the gaulss family can do a location-scale model (as mention in a Tweet just now: https://twitter.com/IsabellaGhement/status/1579922893458505729).