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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 |
| Reference manual: | RMeDPower2.html , RMeDPower2.pdf |
| Vignettes: |
RMeDPower2 Tutorial (source, R code) |
| Package source: | RMeDPower2_1.0.1.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): RMeDPower2_1.0.1.tgz, r-oldrel (arm64): RMeDPower2_1.0.1.tgz, r-release (x86_64): RMeDPower2_1.0.1.tgz, r-oldrel (x86_64): RMeDPower2_1.0.1.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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