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


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Documentation for package ‘DataSimilarity’ version 0.2.0

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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 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