Tables and Graphs for Mixed Models for Repeated Measures (MMRM)
Formatted Analysis Function for MMRM Subgroups
Building Model Formula
Extraction of MMRM Subgroup Results based on Population Model Definiti...
MMRM Analysis
Visualization of Covariance Matrix
Diagnostic Plots for MMRM
Plot LS means for MMRM
Extract Least Square Means from MMRM
Assertions for Datasets
Extraction of Covariate Parts from Character Vector
Linear Mixed Model Diagnostics
Time points helper for Covariance Plot
Helper for Extraction and Formatting of MMRM Subgroups
Vectorization helper for Covariance Plot
Adding Labels To Variables For Model
Helpers for Processing Least Square Means
Objects exported from other packages
Tabulation of MMRM Subgroups Results
Tabulation of MMRM Results
tern.mmrm Package
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.
Useful links