tern.mmrm: 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) <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.

Package details

AuthorDaniel 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]
MaintainerJoe Zhu <joe.zhu@roche.com>
LicenseApache License 2.0
Version0.3.2
URL https://github.com/insightsengineering/tern.mmrm https://insightsengineering.github.io/tern.mmrm/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("tern.mmrm")

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tern.mmrm documentation built on Sept. 30, 2024, 9:20 a.m.