MD2sample: Various Methods for the Two Sample Problem in D>1 Dimensions

The routine twosample_test() in this package runs the two-sample test using various test statistic for multivariate data. The user can also run several tests and then find a p value adjusted for simultaneous inference. The p values are found via permutation or via the parametric bootstrap. The routine twosample_power() allows the estimation of the power of the tests. The routine run.studies() allows a user to quickly study the power of a new method and how it compares to those included in the package. For details of the methods and references see the included vignettes.

Version:	1.0.0
Depends:	R (≥ 3.5)
Imports:	Rcpp, parallel, stats, FNN, copula, ade4, gTests, igraph, lsa, microbenchmark, mvtnorm, Ball
LinkingTo:	Rcpp
Suggests:	rmarkdown, knitr, ggplot2, egg, testthat (≥ 3.0.0)
Published:	2025-07-22
DOI:	10.32614/CRAN.package.MD2sample
Author:	Wolfgang Rolke [aut, cre]
Maintainer:	Wolfgang Rolke <wolfgang.rolke at upr.edu>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	yes
Materials:	NEWS
CRAN checks:	MD2sample results

Documentation:

Reference manual:	MD2sample.html , MD2sample.pdf
Vignettes:	Case Studies (source, R code) MD2sample (source, R code)

Downloads:

Package source:	MD2sample_1.0.0.tar.gz
Windows binaries:	r-devel: not available, r-release: MD2sample_1.0.0.zip, r-oldrel: MD2sample_1.0.0.zip
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): MD2sample_1.0.0.tgz, r-oldrel (x86_64): MD2sample_1.0.0.tgz

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