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Type: Package
Title: Rank Tests for Clustered Data
Version: 1.0
Date: 2016-04-21
Author: Sandipan Dutta, Somnath Datta
Maintainer: Sandipan Dutta <sandipan.dutta07@gmail.com>
Description: Nonparametric rank based tests (rank-sum tests and signed-rank tests) for clustered data, especially useful for clusters having informative cluster size and intra-cluster group size.
License: GPL-2 | GPL-3
Depends: graphics, stats, utils
Packaged: 2016-04-27 05:43:24 UTC; sandy
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-04-28 11:49:57

Rank Tests for Clustered Data

Description

This package consists of methods that compute rank based tests for clustered data.

Details

Package: ClusterRankTest
Type: Package
Version: 1.0
Date: 2016-04-21
License: GPL-2 | GPL-3

Author(s)

Sandipan Dutta, Somnath Datta

Maintainer: Sandipan Dutta <sandipan.dutta07@gmail.com>


Cluster Rank Test

Description

This package consists of methods that compute rank based tests for clustered data.

Usage

clus.rank.sum(Cluster, X, grp = NULL, Y = NULL, test = c("DS", "DD", "SDS"))

Arguments

Cluster

Cluster ID

X

Outcome variable

grp

Binary group indicator variable (0 or 1) if test= "DS" or "DD"

Y

Matched outcome variable if test="SDS"

test

"DS" =Datta-Satten rank-sum test, "DD" = Dutta-Datta rank-sum test, "SDS" = Data-Satten signed rank test

Value

pvalue

P-value for the test

Test Statistic

Test statistic value for the test

References

Datta, S., and Satten, G. A. (2005). Rank-sum tests for clustered data. Journal of the American Statistical Association, 100, 908-915.

Datta, S., and Satten, G. A. (2008). A Signed-rank test for clustered data. Biometrics, 64, 501-507.

Dutta, S., and Datta, S. (2015). A rank-sum test for clustered data when the number of subjects in a group within a cluster is informative. Biometrics, doi: 10.1111/biom.12447.

Examples


Cluster<-c(1,1,2,2,2,2,3,3,3)
X<-c(1,4,2,4,6,7,4,7,8)
grp<-c(0,1,0,0,1,1,1,0,1)
dataset <- list(Cluster,X,grp)

 clus.rank.sum(Cluster, X, grp, test="DS")
 

dataset

Description

The dataset has three columns. The first two columns will be 'Cluster ID' and 'X'(outcome). The third column will be either 'Group Indicator' (for rank-sum tests) or 'Y'(paired outcome for signed-rank tests).

Usage

data("dataset")

Print function.

Description

Prints the p-value and the test statistic.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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