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GrowthCurveME

0.1.11

Mixed-Effects Modeling for Growth Data

0packages depend
2.4Kdownloads / year
80.8%test coverage
13/13checks pass

Overview

About
Maintained by Anand PanigrahyFirst published 2024-12-172 releasesCRAN page ↗GitHub ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 9.4 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.12
80.8%
Coverage · measured lines
100%
Documentation · exports
15
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 505 wordsVignettesNopkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
33%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

2.4K
CRAN downloads in the past year
Rank #17,785 · ~7/day · ~203/mo
Daily download trend is not available in this view yet.
14030 days
60790 days
2.4K1 year
Compare downloads with other packages →
Also on99 r2u17 autocran

Repository

Repository
1Stars
1Forks
2Open issues
0Open PRs
2Releases
38Commits
1Contributors
License GPL-3.0 · 38 commits · Last activity 2025-04-11 · 0% stars, 30d

Stars over time

2026-02-18 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/cancermodels-org/growthcurveme on 2026-08-16.

CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
17 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.0.0
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (6)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Contributors (1)
Contributor
Copyright holders (1)
Funders (1)
Reviewers (1)
Other (1)
Data contributor
Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.11Latest
    2025-04-11 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 0.1.0
    2024-12-17
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2024-12-17
Total releases
2 / 2 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 4.0.0
Bundled data
13 KB / 4 files
Download size
411 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("GrowthCurveME")
Panigrahy, A., Bhatia, S., Dana-Farber Cancer Institute, C. f. P. M., Ligon, K., Quinn, T., & Shetty, A. (2025). GrowthCurveME: Mixed-Effects Modeling for Growth Data (Version 0.1.11) [Computer software]. https://doi.org/10.32614/CRAN.package.GrowthCurveME

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for GrowthCurveME version 0.1.11 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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