In 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).