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tern.mmrm (version 0.3.3)

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

Description

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' framework by Zhu et al. (2023) and tabulate results easily using 'rtables' by Becker et al. (2023). It builds on 'mmrm' by Sabanés Bové et al. (2023) for the actual MMRM computations.

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Install

install.packages('tern.mmrm')

Monthly Downloads

515

Version

0.3.3

License

Apache License 2.0

Issues

12

Pull Requests

1

Stars

7

Forks

3

Maintainer

Joe Zhu

Last Published

July 4th, 2025

Functions in tern.mmrm (0.3.3)

tabulate_mmrm_subgroups

Tabulation of MMRM Subgroups Results
tabulate_mmrm

Tabulation of MMRM Results
h_vectorization

Vectorization helper for Covariance Plot
reexports

Objects exported from other packages
h_mmrm_subgroup_df

Helper for Extraction and Formatting of MMRM Subgroups
mmrm_test_data

Example dataset for tern.mmrm package.
h_get_timepoint_vars

Time points helper for Covariance Plot
lsmeans_helpers

Helpers for Processing Least Square Means
labels

Adding Labels To Variables For Model
tern.mmrm-package

tern.mmrm Package
extract_mmrm_subgroups

Extraction of MMRM Subgroup Results based on Population Model Definition
g_mmrm_diagnostic

Diagnostic Plots for MMRM
build_formula

Building Model Formula
a_mmrm_subgroups

Formatted Analysis Function for MMRM Subgroups
fit_mmrm

MMRM Analysis
get_mmrm_lsmeans

Extract Least Square Means from MMRM
g_covariance

Visualization of Covariance Matrix
g_mmrm_lsmeans

Plot LS means for MMRM
h_get_diagnostics

Linear Mixed Model Diagnostics
h_get_covariate_parts

Extraction of Covariate Parts from Character Vector
h_assert_data

Assertions for Datasets