-
-
I think when merging mixed models tables, it would make sense to sepatate the fixed from the random effects part. This is how it currently looks like in _gtsummary_ (you see that residual SD is at the…
-
We now have quite a lot of transition model types to choose from, some that have specific requirements (such as the random effects term in mixed effects models), and some other specific quirks (e.g. R…
-
**Which problem would you like to address? Please describe.**
Currently, PEtab does not allow to express nonlinear mixed effects models (i.e containing fixed (population) and random (patient-specific…
-
Possible to add methods for models fitted with glmmTMB? The package supports linear and generalized linear mixed models where random effects are gaussian and on the scale of the linear predictor.
-
@sokole @klapierre Can we talk about potential models? I'm looking at the mixed effects models that Eric started, and have it implemented in my models... but not sure what the next steps should be. It…
-
(mainly to get started with an issue and to park two links)
https://stats.stackexchange.com/questions/252317/similarities-and-differences-between-irt-model-and-logistic-regression-model
https://st…
-
Here is a sample dataset:
```
data
-
Implement specialized algorithms for mixed effects models (see Appendix G in write-up). Take functions internal to `lme4`. See the `feature/lmer` branch.
(this is a big pain as `lme4` doesn't expos…
-
some good packages here:
* https://adriancorrendo.github.io/tidymixedmodelsweb/code/tidymixedmodels.html#iv.-means-comparison
* https://www.r-bloggers.com/2020/08/building-anova-models-for-long-ter…