Power Calculations for Cluster-Randomized and Cluster-Randomized
Crossover Trials
c(
person("Ken", "Kleinman", email = "ken.kleinman@gmail.com", rol = c("aut","cre")),
person("Jon", "Moyer", email = "jon.moyer@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"))
)
Calculate power for cluster randomized trials (CRTs) that compare two means, two proportions, or two counts using closed-form solutions. In addition, calculate power for cluster randomized  crossover trials using Monte Carlo methods. For more information, see Reich et al. (2012) <doi:10.1371/journal.pone.0035564>.
Ken Kleinman [aut, cre],
Jon Moyer [aut],
Nicholas Reich [aut],
Daniel Obeng [ctb]

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"))
)
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.
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
Ken Kleinman [aut, cre],
Alexandria Sakrejda [aut],
Jon Moyer [aut],
Joshua Nugent [aut],
Nicholas Reich [aut],
Daniel Obeng [ctb]

Reproducibility of gene expression clusters
Amy Kapp <Amy_Kapp@hotmail.com> and Rob Tibshirani
<robert.tibshirani@stanford.edu>
A function for validating microarry clusters via
reproducibility