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RMeDPower2  

Design and Modeling for Repeated Measures Studies
View on CRAN: Click here


Download and install RMeDPower2 package within the R console
Install from CRAN:
install.packages("RMeDPower2")

Install from Github:
library("remotes")
install_github("cran/RMeDPower2")

Install by package version:
library("remotes")
install_version("RMeDPower2", "1.0.2")



Attach the package and use:
library("RMeDPower2")
Maintained by
Reuben Thomas
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-05-07
Latest Update: 2026-05-07
Description:
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>.
How to cite:
Reuben Thomas (2026). RMeDPower2: Design and Modeling for Repeated Measures Studies. R package version 1.0.2, https://cran.r-project.org/web/packages/RMeDPower2. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:19), 1.0.1 (2026-05-07 18:20)
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Complete documentation for RMeDPower2
Functions, R codes and Examples using the RMeDPower2 R package
Full RMeDPower2 package functions and examples
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