GrowthCurveME: Mixed-Effects Modeling for Growth Data

Simple and user-friendly wrappers to the 'saemix' package for performing linear and non-linear mixed-effects regression modeling for growth data to account for clustering or longitudinal analysis via repeated measurements. The package allows users to fit a variety of growth models, including linear, exponential, logistic, and 'Gompertz' functions. For non-linear models, starting values are automatically calculated using initial least-squares estimates. The package includes functions for summarizing models, visualizing data and results, calculating doubling time and other key statistics, and generating model diagnostic plots and residual summary statistics. It also provides functions for generating publication-ready summary tables for reports. Additionally, users can fit linear and non-linear least-squares regression models if clustering is not applicable. The mixed-effects modeling methods in this package are based on Comets, Lavenu, and Lavielle (2017) <doi:10.18637/jss.v080.i03> as implemented in the 'saemix' package. Please contact us at models@dfci.harvard.edu with any questions.

Version: 0.1.11
Depends: R (≥ 4.0.0)
Imports: dplyr (≥ 1.1.4), flextable (≥ 0.9.6), ggplot2 (≥ 3.5.1), investr (≥ 1.4.2), knitr (≥ 1.46), magrittr (≥ 2.0.3), minpack.lm (≥ 1.2-4), moments (≥ 0.14.1), patchwork (≥ 1.2.0), rlang (≥ 1.1.3), saemix (≥ 3.3), stringr (≥ 1.5.1), tibble (≥ 3.2.1), tidyr (≥ 1.3.1), viridis (≥ 0.6.5)
Suggests: rmarkdown (≥ 2.27), testthat (≥ 3.2.1.1)
Published: 2025-04-11
DOI: 10.32614/CRAN.package.GrowthCurveME
Author: Anand Panigrahy ORCID iD [aut, cre], Sonam Bhatia ORCID iD [ctb], Thomas Quinn [dtc], Aniket Shetty [rev], Keith Ligon ORCID iD [fnd], Center for Patient-Derived Models Dana-Farber Cancer Institute [cph]
Maintainer: Anand Panigrahy <anand_panigrahy at dfci.harvard.edu>
BugReports: https://github.com/cancermodels-org/GrowthCurveME/issues
License: GPL (≥ 3)
URL: https://github.com/cancermodels-org/GrowthCurveME
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: GrowthCurveME results

Documentation:

Reference manual: GrowthCurveME.html , GrowthCurveME.pdf

Downloads:

Package source: GrowthCurveME_0.1.11.tar.gz
Windows binaries: r-devel: GrowthCurveME_0.1.11.zip, r-release: GrowthCurveME_0.1.11.zip, r-oldrel: GrowthCurveME_0.1.11.zip
macOS binaries: r-release (arm64): GrowthCurveME_0.1.11.tgz, r-oldrel (arm64): GrowthCurveME_0.1.11.tgz, r-release (x86_64): GrowthCurveME_0.1.11.tgz, r-oldrel (x86_64): GrowthCurveME_0.1.11.tgz
Old sources: GrowthCurveME archive

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