Package: tern.mmrm 0.3.1

Joe Zhu

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.

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]

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tern.mmrm.pdf |tern.mmrm.html✨
tern.mmrm/json (API)
NEWS

# Install 'tern.mmrm' in R:

install.packages('tern.mmrm', repos = c('https://insightsengineering.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/insightsengineering/tern.mmrm/issues

Datasets:

mmrm_test_data - Example dataset for 'tern.mmrm' package.

On CRAN:

graphs listings statistical-engineering tables

18 exports 6 stars 2.74 score 90 dependencies 1 dependents 295 downloads

Last updated 26 days agofrom:02ea937520 (on v0.3.1)

Exports:a_mmrm_lsmeans a_mmrm_lsmeans_single as.rtable build_formula extract_mmrm_subgroups fit_mmrm g_covariance g_mmrm_diagnostic g_mmrm_lsmeans get_mmrm_lsmeans h_mmrm_cov h_mmrm_diagnostic h_mmrm_fixed s_mmrm_lsmeans s_mmrm_lsmeans_single summarize_lsmeans tabulate_mmrm_subgroups tidy

Dependencies:abind backports base64enc boot brio broom callr car carData checkmate cli colorspace cowplot cpp11 crayon desc diffobj digest dplyr emmeans estimability evaluate fansi farver fastmap forcats formatters fs generics ggplot2 glue gridExtra gtable htmltools isoband jsonlite labeling lattice lifecycle lme4 magrittr MASS Matrix MatrixModels mgcv minqa mmrm munsell mvtnorm nlme nloptr nnet numDeriv parallelly pbkrtest pillar pkgbuild pkgconfig pkgload praise processx ps purrr quantreg R6 rbibutils RColorBrewer Rcpp RcppEigen Rdpack rematch2 rlang rprojroot rtables scales SparseM stringi stringr survival tern testthat tibble tidyr tidyselect TMB utf8 vctrs viridisLite waldo withr

Introduction to tern.mmrm

Rendered fromintroduction.Rmdusingknitr::rmarkdownon Jun 12 2024.

Last update: 2023-07-06
Started: 2022-10-05

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Building Model Formula	build_formula
Extraction of MMRM Subgroup Results based on Population Model Definition	extract_mmrm_subgroups
'MMRM' Analysis	fit_mmrm
Visualization of Covariance Matrix	g_covariance
Diagnostic Plots for 'MMRM'	g_mmrm_diagnostic
Plot LS means for MMRM	g_mmrm_lsmeans
Extract Least Square Means from 'MMRM'	get_mmrm_lsmeans
Example dataset for 'tern.mmrm' package.	mmrm_test_data
Tabulation of 'MMRM' Results	as.rtable.tern_mmrm a_mmrm_lsmeans a_mmrm_lsmeans_single h_mmrm_cov h_mmrm_diagnostic h_mmrm_fixed summarize_lsmeans s_mmrm_lsmeans s_mmrm_lsmeans_single tabulate_mmrm tidy.tern_mmrm
Tabulation of MMRM Subgroups Results	tabulate_mmrm_subgroups