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

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Documentation for package ‘MD2sample’ version 1.4.0

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

Help Pages

as.data.frame.MD2sample_power	Methods for MD2sample power results
as.data.frame.MD2sample_test	Methods for MD2sample two-sample test results
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
MD2sample_power-methods	Methods for MD2sample power results
MD2sample_test-methods	Methods for MD2sample two-sample test results
power_studies_results	power_studies_results
print.MD2sample_power	Methods for MD2sample power results
print.MD2sample_test	Methods for MD2sample two-sample test results
print.summary.MD2sample_test	Methods for MD2sample two-sample test results
run.studies	Benchmarking for Multivariate Two-Sample Tests
summary.MD2sample_test	Methods for MD2sample two-sample test results
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 for multivariate two-sample tests