Tables and Graphs for Mixed Models for Repeated Measures (MMRM) R package tern.mmrm version 0.3.3 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) <doi:10.1002/(SICI)1097-0258(19971030)16:20%3C2349::AID-SIM667%3E3.0.CO;2-E>. 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. Software Depends: R (>= 3.6), tern (>= 0.9.9) Imports: checkmate (>= 2.1.0), cowplot, dplyr (>= 1.1.0), emmeans (>= 1.10.4), formatters (>= 0.5.11), generics, ggplot2, lifecycle (>= 0.2.0), magrittr, mmrm (>= 0.3.5), parallelly (>= 1.25.0), rlang (>= 1.0.1), rtables (>= 0.6.13), stats, tidyr (>= 0.8.3) Suggests: broom (>= 0.7.10), grid, knitr (>= 1.42), maditr (>= 0.8.1), Matrix, rmarkdown (>= 2.23), testthat (>= 3.1), TMB, vdiffr (>= 1.0.7), withr (>= 2.0.0) Joe Zhu <joe.zhu@roche.com> Comprehensive R Archive Network (CRAN) Daniel Sabanés Bové [aut], Joe Zhu [aut, cre] (ORCID: <https://orcid.org/0000-0001-7566-2787>), Godwin Yung [aut], Francois Collin [aut], Julia Dedic [aut], Jana Stoilova [aut], F. Hoffmann-La Roche AG [cph, fnd] Apache License 2.0 2025-07-04 application/tgz https://CRAN.R-project.org/package=tern.mmrm doi:10.32614/CRAN.package.tern.mmrm en-US