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

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

## Documentation for package ‘MD2sample’ version 1.2.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

case.studies | Create case studies
chisq2D_test_cont | This function does the chi square two sample test for continuous data in two dimensions
chisq2D_test_disc | This function does the chi square two sample test for continuous data in two dimensions
chiTS.cont | Chi-square test for continuous data, example of user supplied function
chiTS.disc | Chi-square test for discrete data, example of user supplied function
edge.tests | This function does the tests by Chen and Friedman
FR.test | Friedman-Rafsky (FR) test
power_studies_results | power_studies_results
run.studies | Benchmarking for Multivariate Two-Sample Tests
signif.digits | This function does some rounding to nice numbers
timecheck | test function
TS_cont_pval | This function runs a number of two sample tests which find their own p value.
twosample_power | Power Estimation for Multivariate Two-Sample Tests
twosample_test | Multivariate Two-Sample Tests
twosample_test_adjusted_pvalue | Adjusted p values