R/CorrBin-package.R

In CorrBin: Nonparametrics with Clustered Binary and Multinomial Data

#'Nonparametrics for Correlated Binary and Multinomial Data
#'
#'This package implements nonparametric methods for analyzing exchangeable
#'binary and multinomial data with variable cluster sizes with emphasis on trend testing. The
#'input should specify the treatment group, cluster-size, and the number of
#'responses (i.e. the number of cluster elements with the outcome of interest)
#'for each cluster.
#'
#'\itemize{ \item The \code{\link{CBData}/\link{CMData}} and \code{\link{read.CBData}/\link{read.CMData}}
#'functions create a `CBData' or `CMData' object used by the analysis functions.  
#'\item \code{\link{ran.CBData}} and \code{\link{ran.CMData}} can be used to generate random 
#' binary or multinomial data using a variety of distributions.  
#'\item \code{\link{mc.test.chisq}} tests the assumption of marginal compatibility
#'underlying all the methods, while \code{\link{mc.est}} estimates the
#'distribution of the number of responses under marginal compatibility.  
#'\item Finally, \code{\link{trend.test}} performs three different tests for trend
#'along the treatment groups for binomial data. }
#'
#'@name CorrBin-package
#'@aliases CorrBin-package CorrBin
#'@docType package
#'@author Aniko Szabo
#'
#'Maintainer: Aniko Szabo <aszabo@@mcw.edu>
#'@references Szabo A, George EO. (2009) On the Use of Stochastic Ordering to
#'Test for Trend with Clustered Binary Data. \emph{Biometrika}
#'
#'Stefanescu, C. & Turnbull, B. W. (2003) Likelihood inference for exchangeable
#'binary data with varying cluster sizes. \emph{Biometrics}, 59, 18-24
#'
#'Pang, Z. & Kuk, A. (2007) Test of marginal compatibility and smoothing
#'methods for exchangeable binary data with unequal cluster sizes.
#'\emph{Biometrics}, 63, 218-227
#'@keywords package nonparametric
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