Tables and Graphs for Mixed Models for Repeated Measures (MMRM)

Mixed models for repeated measures (MMRM) are a popular choice for analyzing longitudinal continuous outcomes in randomized clinical trials and beyond; see for example Cnaan, Laird and Slasor (1997) . This package provides an interface for fitting MMRM within the 'tern' < https://cran.r-project.org/package=tern> framework by Zhu et al. (2023) and tabulate results easily using 'rtables' < https://cran.r-project.org/package=rtables> by Becker et al. (2023). It builds on 'mmrm' < https://cran.r-project.org/package=mmrm> by Sabanés Bové et al. (2023) for the actual MMRM computations.


Reference manual

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install.packages("tern.mmrm")

0.3.4 by Joe Zhu, a month ago


https://github.com/insightsengineering/tern.mmrm, https://insightsengineering.github.io/tern.mmrm/


Report a bug at https://github.com/insightsengineering/tern.mmrm/issues


Browse source code at https://github.com/cran/tern.mmrm


Authors: Daniel Sabanés Bové [aut] , Joe Zhu [aut, cre] , Godwin Yung [aut] , Francois Collin [aut] , Julia Dedic [aut] , Jana Stoilova [aut] , F. Hoffmann-La Roche AG [cph, fnd]


Documentation:   PDF Manual  


Apache License 2.0 license


Imports checkmate, cowplot, dplyr, emmeans, formatters, generics, ggplot2, lifecycle, mmrm, parallelly, rlang, rtables, stats, tidyr

Depends on tern

Suggests broom, grid, knitr, maditr, Matrix, Rcpp, rmarkdown, testthat, TMB, vdiffr, withr


Imported by teal.modules.clinical.


See at CRAN