-
Hello MUSCAT people,
I hope my message finds you fine. I have an inquiry regarding the mixed-effects models implemented using mmDS function in MUSCAT. As I understood from your paper and the packa…
-
run Linear Mixed Effects Models as :
data = sm.datasets.get_rdataset("dietox", "geepack").data
md = smf.mixedlm("Weight ~ Time", data, groups=data["Pig"])
mdf = md.fit()
print(md…
-
Hi Ben,
Thank you for the great packages (both `broom.mixed` and `glmmTMB`)!
I've been running into problems when fixing some of the parameter values in `glmmTMB`. While using the `map` argument…
-
### Description of feature
We would like to extend this pipeline logic to allow processing of data and model described bellow. Can you suggest how we should approach this topic?
Consider the follo…
-
The [gpboost](https://cran.r-project.org/web/packages/gpboost/) package on CRAN by @fabsig explains itself as such:
> **Combining Tree-Boosting with Gaussian Process and Mixed Effects Models**
> A…
-
Would be nice to have a longitudinal qgcomp with some of the following possibilities:
- Effects of increasing all prior exposures by one quantile
- Quantiles for time-varying exposures that are ba…
-
Contains clear explanations of the following:
- Bayesian analysis
- Micro-macro models
- Exploratory data analysis
- Predict (glm)
- Factor analysis with psych package
- Mixed models
- Fracti…
-
#### Is your feature request related to a problem? Please describe
I'd like to run this R code in python statsmodels:
```R
model
-
While linear mixed effect models are supported, nonlinear mixed effects models like `nlme` are not supported at this time. I'm unsure this is in scope or out of scope for this project.
-
Thank you so much for all your work on mixed models throughout the R ecosystem!
I found these pages as a great summary of how mixed models are available within R. One thing that I have not found i…