| 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 Runs 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 | Dataset Similarity | 
| 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 | 
| findSimilarityMethod | Selection of Appropriate Methods for Quantifying the Similarity of Datasets | 
| 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 | Empirical Characteristic Distance | 
| LHZStatistic | Calculation of the Li et al. (2022) Empirical Characteristic Distance | 
| MD | Univariate Two-Sample Statistics for DiProPerm Test | 
| method.table | List of Methods Included in the Package | 
| 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 |