Package: clusterPower
Version: 0.7.0
Date: 2021-01-27
Title: Power Calculations for Cluster-Randomized and Cluster-Randomized
        Crossover Trials
Maintainer: Ken Kleinman <ken.kleinman@gmail.com>
Authors@R: c(
  person("Ken", "Kleinman", email = "ken.kleinman@gmail.com", rol = c("aut","cre")),
  person("Alexandria", "Sakrejda", email = "alexandria.sakrejda@gmail.com", rol = c("aut")),
  person("Jon", "Moyer", email = "jon.moyer@gmail.com", rol = c("aut")),
  person("Joshua", "Nugent", email = "joshuanugent@gmail.com", rol = c("aut")),
  person("Nicholas", "Reich", email = "nick@schoolph.umass.edu", rol = c("aut")),
  person("Daniel", "Obeng", email = "dobeng@gmail.com", rol = c("ctb"))
  )
License: GPL (>= 2)
Imports: lme4 (>= 1.0), progress (>= 1.1.2), dplyr(>= 0.7.5), tidyr (>=
        0.8.1), R.utils (>= 2.10.1), car (>= 3.0-4), lmerTest (>=
        3.1-2), nlme (>= 3.1-149), foreach (>= 1.5.0), shiny (>=
        1.0.5), methods (>= 4.0.0), mathjaxr
Description: Calculate power for cluster randomized trials (CRTs) including multi-arm trials, individually randomized group treatment trials (IGRTTs), stepped wedge trials (SWTs) and others using closed-form (analytic) solutions, and estimates power using Monte Carlo methods.
Suggests: MASS (<= 7.3-53), geepack (>= 1.2), nloptr (>= 1.2.2.2),
        optimx (>= 2020-4.2), doParallel (>= 1.0.15), shinyBS (>=
        0.61), tidyverse (>= 1.1.1), DT (>= 0.2), stringr (>= 1.2.0),
        CRTSize, data.table, testthat (>= 3.0.0), knitr, rmarkdown,
        shinycssloaders
RdMacros: mathjaxr
VignetteBuilder: knitr
Encoding: UTF-8
RoxygenNote: 7.1.1
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2021-01-28 16:33:06 UTC; kkleinman
Author: Ken Kleinman [aut, cre],
  Alexandria Sakrejda [aut],
  Jon Moyer [aut],
  Joshua Nugent [aut],
  Nicholas Reich [aut],
  Daniel Obeng [ctb]
Repository: CRAN
Date/Publication: 2021-01-28 17:40:02 UTC
