In openpharma/mmrm: Mixed Models for Repeated Measures
The mmrm package is based on previous work internal in Roche, namely
the tern and tern.mmrm packages which were based on lme4.
The work done in the rbmi package has been important since it used
glmmTMB for fitting MMRMs.
We would like to thank Ben Bolker from the glmmTMB team for multiple
discussions when we tried to get the Satterthwaite degrees of freedom
implemented with glmmTMB (see https://github.com/glmmTMB/glmmTMB/blob/satterthwaite_df/glmmTMB/vignettes/satterthwaite_unstructured_example2.Rmd). Also Ben helped us significantly with
an example showing how to use TMB for a random effect vector (https://github.com/bbolker/tmb-case-studies/tree/master/vectorMixed).
openpharma/mmrm documentation built on April 14, 2025, 2:10 a.m.
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The mmrm package is based on previous work internal in Roche, namely
the tern and tern.mmrm packages which were based on lme4.
The work done in the rbmi package has been important since it used
glmmTMB for fitting MMRMs.
We would like to thank Ben Bolker from the glmmTMB team for multiple
discussions when we tried to get the Satterthwaite degrees of freedom
implemented with glmmTMB (see https://github.com/glmmTMB/glmmTMB/blob/satterthwaite_df/glmmTMB/vignettes/satterthwaite_unstructured_example2.Rmd). Also Ben helped us significantly with
an example showing how to use TMB for a random effect vector (https://github.com/bbolker/tmb-case-studies/tree/master/vectorMixed).
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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