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RMeDPower2 needs DHARMa, which CRAN will archive unless its check problems are fixed by Nov 14.

RMeDPower2

1.0.2Package record

Design and Modeling for Repeated Measures Studies

0packages depend
1.8Kdownloads / year
61.9%test coverage
11/13flavors OK

Overview

About

Provides complete functionality to analyse data from repeated measures experiments with hierarchical or crossed experimental designs. Supports testing modeling assumptions, identifying outlier observations and experimental units, estimating statistical power, and performing sample size calculations. Uses linear mixed effects models via 'lme4' and simulation-based power analysis via 'simr'. Handles both normal and non-normal error distributions including binomial and Poisson families. For more details see Shin et al. (2022) doi:10.1101/2022.07.18.500490, Bates et al. (2015) doi:10.18637/jss.v067.i01, Green and MacLeod (2016) doi:10.1111/2041-210X.12504, Hartig (2024) doi:10.32614/CRAN.package.DHARMa, Nieuwenhuis et al. (2012) doi:10.32614/RJ-2012-011, Millard (2013) doi:10.1007/978-1-4614-8456-1 and Kuznetsova et al. (2017) doi:10.18637/jss.v082.i13.

Changes in 1.0.2
  • Revised CRAN submission.
  • Added simulateREs = "user-specified" argument to the DHARMa::simulateResiduals() function to make it compatible with the updates to DHARMa
  • Added model fit to the output of getEstimatesOfInterest

From NEWS.md in the release

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTERd contentsr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Rd files without \usage:
  ‘PowerParams-class.Rd’ ‘ProbabilityModel-class.Rd’
  ‘RMeDesign-class.Rd’
\arguments should not be documented without \usage.

CRAN check page ↗

Slowest check: 9.5 min · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTE2026-09-08
  • ERROR10 OK, 2 NOTE, 1 ERROR2026-09-07
  • NOTE12 OK, 1 NOTE2026-07-11
  • OK13 OK2026-06-14
  • ERROR10 OK, 3 ERROR2026-06-02
Show 1 earlier changeHide 1 earlier change
  • OK6 OK2026-05-08
Advisories

none known

Documentation

In release 1.0.2
READMEYes · 316 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · mentions 1.0.2Citation fileNoWebsitenot declared in DESCRIPTION
Description cites a JSS article
Help pages
16
Examples that run
67%6 run in a plain check · 3 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

1.8K
CRAN downloads in the past year
Rank #12,371 · ~5/day · ~150/mo
Daily download trend is not available in this view yet.
31330 days
90590 days
1.8K1 year
Compare downloads with other packages →
Also on50 r2u6 autocran

Dependencies

Declared dependencies
16 external dependencies (excludes base and recommended)

Installing RMeDPower2 adds 123 packages (64 with compiled code, 110 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)
R >= 4.0
LinkingTo (0)
none
Enhances (0)
none
Dependencies facing archival

CRAN will archive these unless their check problems are fixed by the date shown. This package needs each one to install.

Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 1.0.1 (2026)
Releases (2)

Pick two releases to compare their code metrics.

  • 1.0.2Latest
    record
    2026-06-06 · current release · diff ↗
  • 1.0.1
    record
    2026-05-07
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-05-07
Total releases
2 / 1 yrs
License
GPL-3 OSI
Minimum R
≥ 4.0
Bundled data
243 KB / 7 files
Download size
5.5 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("RMeDPower2")
Thomas, R., & Shin, M. (2026). RMeDPower2: Design and Modeling for Repeated Measures Studies (Version 1.0.2) [Computer software]. https://doi.org/10.32614/CRAN.package.RMeDPower2

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 RMeDPower2 version 1.0.2 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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