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: |
1.1.1 |
| 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: |
2026-02-02 |
| 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 |