Package: RMeDPower2
Type: Package
Title: Design and Modeling for Repeated Measures Studies
Version: 1.0.1
Authors@R: c(
    person("Min-Gyoung", "Shin",
           email = "mingyoung.shin@gladstone.ucsf.edu",
           role = c("aut")),
    person("Reuben", "Thomas",
           email = "reuben.thomas@gladstone.ucsf.edu",
           role = c("aut", "cre"))
    )
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>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
VignetteBuilder: knitr
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)
NeedsCompilation: no
Packaged: 2026-05-04 19:51:15 UTC; rthomas
Author: Min-Gyoung Shin [aut],
  Reuben Thomas [aut, cre]
Maintainer: Reuben Thomas <reuben.thomas@gladstone.ucsf.edu>
Repository: CRAN
Date/Publication: 2026-05-07 16:20:34 UTC
