clusrank: Wilcoxon Rank Tests for Clustered Data

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## clusrank: Wilcoxon Rank Tests for Clustered Data
##
## Copyright (C) 2015-2024 Yujing Jiang, Mei-Ling Ting Lee, and Jun Yan
## Copyright (C) 2022-2024 Wenjie Wang
##
## This file is part of the R package clusrank.
##
## The R package clusrank is free software: You can redistribute it and/or
## modify it under the terms of the GNU General Public License as published by
## the Free Software Foundation, either version 3 of the License, or any later
## version (at your option). See the GNU General Public License at
## <https://www.gnu.org/licenses/> for details.
##
## The R package clusrank is distributed in the hope that it will be useful,
## but WITHOUT ANY WARRANTY without even the implied warranty of
## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
##


##'  Difference Between Pre and Post Treatment Scores with Clustering
##'  Structure: Balanced
##'
##'  Simulated clustered data with the difference of pre and post treatment scores recorded.
##'  The data is balanced.
##'
##' @format A data frame with 40 rows and 2 variables.
##'
##'
##'   [, 1] id cluster id
##'
##'   [, 2] z  score difference
##'
##'
##' @name crsd
##' @docType data
##' @source \url{https://sites.google.com/a/channing.
##' harvard.edu/bernardrosner/channing/cluster-signed
##' -rank-test-for-balancedunbalanced-design/sample_balanced_data}
##' @keywords datasets internal
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