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


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Documentation for package ‘DataSimilarity’ version 0.1.1

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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 Cram<c3><a9>r 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