RMeDPower2: Design and Modeling for Repeated Measures Studies
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>.
| Version: |
1.0.1 |
| Depends: |
R (≥ 4.0) |
| Imports: |
lme4, dplyr, simr, magrittr, ggplot2, ggtext, quantreg, tibble, lmerTest, DHARMa, influence.ME, EnvStats, jsonlite, methods, stats, grDevices, graphics |
| Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2026-05-07 |
| DOI: |
10.32614/CRAN.package.RMeDPower2 (may not be active yet) |
| Author: |
Min-Gyoung Shin [aut],
Reuben Thomas [aut, cre] |
| Maintainer: |
Reuben Thomas <reuben.thomas at gladstone.ucsf.edu> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
RMeDPower2 results |
Documentation:
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