Quantifying Similarity of Datasets and Multivariate Two- And k-Sample Testing

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Documentation for package ‘DataSimilarity’ version 0.2.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

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