Package: tern.mmrm 0.3.1.9005
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:
tern.mmrm_0.3.1.9005.tar.gz
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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://pharmaverse.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/insightsengineering/tern.mmrm/issues
- mmrm_test_data - Example dataset for 'tern.mmrm' package.
graphslistingsstatistical-engineeringtables
Last updated 5 days agofrom:8990ce4ddb. Checks:OK: 7. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Sep 03 2024 |
R-4.5-win | OK | Sep 03 2024 |
R-4.5-linux | OK | Sep 03 2024 |
R-4.4-win | OK | Sep 03 2024 |
R-4.4-mac | OK | Sep 03 2024 |
R-4.3-win | OK | Sep 03 2024 |
R-4.3-mac | OK | Sep 03 2024 |
Exports:a_mmrm_lsmeansa_mmrm_lsmeans_singleas.rtablebuild_formulaextract_mmrm_subgroupsfit_mmrmg_covarianceg_mmrm_diagnosticg_mmrm_lsmeansget_mmrm_lsmeansh_mmrm_covh_mmrm_diagnostich_mmrm_fixeds_mmrm_lsmeanss_mmrm_lsmeans_singlesummarize_lsmeanstabulate_mmrm_subgroupstidy
Dependencies:abindbackportsbase64encbootbriobroomcallrcarcarDatacheckmateclicolorspacecowplotcpp11crayonDerivdescdiffobjdigestdoBydplyremmeansestimabilityevaluatefansifarverfastmapforcatsformattersfsgenericsggplot2gluegridExtragtablehtmltoolsisobandjsonlitelabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqammrmmodelrmunsellmvtnormnlmenloptrnnetnumDerivparallellypbkrtestpillarpkgbuildpkgconfigpkgloadpraiseprocessxpspurrrquantregR6rbibutilsRColorBrewerRcppRcppEigenRdpackrematch2rlangrprojrootrtablesscalesSparseMstringistringrsurvivalterntestthattibbletidyrtidyselectTMButf8vctrsviridisLitewaldowithr
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 |