brms
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brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
The `brm_multiple()` documentation says that the `data` argument can be a list of data frames. After using `complete()` on a `mids` object resulting from `mice()`, the result is a `mild`...
Currently, adding an ar() term in the zi formula returns "Error: Explicit covariance terms can only be specified on 'mu'". But if one is modeling the likelihood of absence after...
When `update()`-ing a `cumulative()` fit with a new dataset that contains fewer response categories than the original one, `prior_summary()` still displays all the thresholds from the initial model fit: ```r...
Hello, First and foremost, thank you for all of the excellent work that's done here! `brms` is an excellent package and really helps decrease dependence on working in base `stan`,...
This is similar to #1373, but for `kfold.brmsfit()` instead of `update.brmsfit()`. So here it seems like `kfold.brmsfit()` does not pass all arguments from the original `brm()` call to the K...
I may be mistaken, but I believe that almost all Mixed-/Random-effects packages allow a wide variety of families/links, but all pretty much model random effects as gaussian (0, SD), calculating...
As discussed, this PR adds functionality for power-scaling sensitivity analysis via the priorsense package. This PR is in progress, and needs to be kept up to date with any changes...
It seems like `update.brmsfit()` does not pass all arguments from the original `brm()` call to the updated `brm()` call (I guess arguments from the ellipsis `...` are missing). For example:...
For first implementation of #1088 only the simpler case for single models was implemented. Support for `brm_multiple` has a WIP code at https://github.com/martinmodrak/brms/tree/extended_cache_brm_multiple but incorporation awaits better support for testing...
Thanks for all the work on `brms` Paul -- it's an outstanding package. I know `brms` can handle zero-inflated proportions. Some collaborators and I recently developed a model for responses...