| DataSimilarity-package | Quantifying Similarity of Datasets and Multivariate Two- And k-Sample Testing |
| AUC | Univariate Two-Sample Statistics for DiProPerm Test |
| Bahr | Bahr (1996) multivariate two-sample test |
| BallDivergence | Ball Divergence based two- or k-sample test |
| BF | Baringhaus and Franz (2010) rigid motion invariant multivariate two-sample test |
| BG | Biau and Gyorfi (2005) two-sample homogeneity test |
| BG2 | Biswas and Ghosh (2014) Two-Sample Test |
| BMG | Biswas et al. (2014) two-sample run test |
| BQS | Barakat et al. (1996) Two-Sample Test |
| C2ST | Classifier Two-Sample Test |
| CCS | Weighted Edge-Count Two-Sample Test |
| CCS_cat | Weighted Edge-Count Two-Sample Test for Discrete Data |
| CF | Generalized Edge-Count Test |
| CF_cat | Generalized Edge-Count Test for Discrete Data |
| CMDistance | Constrained Minimum Distance |
| Cramer | Cramér Two-Sample Test |
| DataSimilarity | Quantifying Similarity of Datasets and Multivariate Two- And k-Sample Testing |
| dipro.fun | Direction-Projection Functions for DiProPerm Test |
| DiProPerm | Direction-Projection-Permutation (DiProPerm) Test |
| DISCOB | Distance Components (DISCO) Tests |
| DISCOF | Distance Components (DISCO) Tests |
| DS | Rank-Based Energy Test (Deb and Sen, 2021) |
| dwdProj | Direction-Projection Functions for DiProPerm Test |
| Energy | Energy Statistic and Test |
| engineerMetric | Engineer Metric |
| f.a | Decision-Tree Based Measure of Dataset Distance and Two-Sample Test |
| f.aCat | Decision-Tree Based Measure of Dataset Distance and Two-Sample Test |
| f.s | Decision-Tree Based Measure of Dataset Distance and Two-Sample Test |
| f.sCat | Decision-Tree Based Measure of Dataset Distance and Two-Sample Test |
| findSigma | Generalized Permutation-Based Kernel (GPK) Two-Sample Test |
| FR | Friedman-Rafsky Test |
| FR_cat | Friedman-Rafsky Test for Discrete Data |
| FStest | Multisample FS Test |
| GGRL | Decision-Tree Based Measure of Dataset Distance and Two-Sample Test |
| GGRLCat | Decision-Tree Based Measure of Dataset Distance and Two-Sample Test |
| GPK | Generalized Permutation-Based Kernel (GPK) Two-Sample Test |
| gTests | Graph-Based Tests |
| gTestsMulti | Graph-Based Multi-Sample Test |
| gTests_cat | Graph-Based Tests for Discrete Data |
| HamiltonPath | Shortest Hamilton path |
| hammingDist | Optimal Transport Dataset Distance |
| HMN | Random Forest Based Two-Sample Test |
| Jeffreys | Jeffreys divergence |
| kerTests | Generalized Permutation-Based Kernel (GPK) Two-Sample Test |
| KMD | Kernel Measure of Multi-Sample Dissimilarity (KMD) |
| knn | K-Nearest Neighbor Graph |
| knn.bf | K-Nearest Neighbor Graph |
| knn.fast | K-Nearest Neighbor Graph |
| LHZ | Li et al. (2022) empirical characteristic distance |
| LHZStatistic | Calculation of the Li et al. (2022) empirical characteristic distance |
| MD | Univariate Two-Sample Statistics for DiProPerm Test |
| MMCM | Multisample Mahalanobis Crossmatch (MMCM) Test |
| MMD | Maximum Mean Discrepancy (MMD) Test |
| MST | Minimum Spanning Tree (MST) |
| MW | Nonparametric Graph-Based LP (GLP) Test |
| NKT | Decision-Tree Based Measure of Dataset Similarity (Ntoutsi et al., 2008) |
| OTDD | Optimal Transport Dataset Distance |
| Petrie | Multisample Crossmatch (MCM) Test |
| rectPartition | Calculate a rectangular partition |
| RItest | Multisample RI Test |
| Rosenbaum | Rosenbaum Crossmatch Test |
| SC | Graph-Based Multi-Sample Test |
| SH | Schilling-Henze Nearest Neighbor Test |
| stat.fun | Univariate Two-Sample Statistics for DiProPerm Test |
| svmProj | Direction-Projection Functions for DiProPerm Test |
| tStat | Univariate Two-Sample Statistics for DiProPerm Test |
| Wasserstein | Wasserstein Distance based Test |
| YMRZL | Yu et al. (2007) Two-Sample Test |
| ZC | Maxtype Edge-Count Test |
| ZC_cat | Maxtype Edge-Count Test for Discrete Data |