person("Alexandria", "Sakrejda", email = "alexandria.sakrejda@gmail.com", rol = c("aut")),
person("Joshua", "Nugent", email = "joshuanugent@gmail.com", rol = c("aut")),
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.
CRTSize, data.table, testthat (>= 3.0.0), knitr, rmarkdown,
Packaged: 2021-01-28 16:33:06 UTC; kkleinman

Title: Reproducibility of gene expression clusters
Author: Amy Kapp <Amy_Kapp@hotmail.com> and Rob Tibshirani
Description: A function for validating microarry clusters via
Packaged: Sun Mar 1 12:40:25 2009; hornik

Author: Amy Kapp <Amy_Kapp@hotmail.com> and Rob Tibshirani <robert.tibshirani@stanford.edu>
Description: A function for validating microarry clusters via reproducibility
Packaged: Tue Feb 21 15:20:09 2006; akapp

Title: Reproducibility of Gene Expression Clusters
Author: Amy Kapp <Amy_Kapp@hotmail.com> and Rob Tibshirani <tibs@stanford.edu>
Description: This is a function for validating microarray clusters via reproducibility,

Title: Calculate Various Forms of Cluster-Robust Standard Error
Authors@R: person("Justin", "Esarey", , "justin@justinesarey.com", role = c("aut", "cre"))
Description: Calculates confidence intervals and p-values using cluster-adjusted standard errors (based on Ibragimov and Muller 2010, Journal of Business and Economic Statistics 28(4)), the pairs cluster bootstrapped t-statistic, and the wild cluster bootstrapped t-statistic for the GLM and mlogit models (the latter two techniques based on Cameron, Gelbach, and Miller 2008, Review of Economics and Statistics 90(3)).
Depends: R (>= 3.1.2), sandwich, lmtest, mlogit

Title: Calculate Cluster-Robust p-Values and Confidence Intervals
Description: Calculate p-values and confidence intervals using cluster-adjusted standard errors (based on Ibragimov and Muller 2010, Journal of Business and Economic Statistics 28(4)), pairs cluster bootstrapped t-statistics, and wild cluster bootstrapped t-statistics for the GLM and mlogit models (the latter two techniques based on Cameron, Gelbach, and Miller 2008, Review of Economics and Statistics 90(3)).