Multiresponse permutation procedure and its variable importance and variable selection methods.

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Documentation for package ‘MRPP’ version 1.0-321

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MRPP-package Multiresponse permutation procedure and its variable importance and selection.
bw.mse.pdf.asym Find asymptotically optimal bandwidth for KDE by minimizing MSE at the first data point
dec2FR Factoradic numbers
dec2permvec Factoradic numbers
FR2dec Factoradic numbers
FR2permvec Factoradic numbers
get.dp.dw.kde Permutation-based variable importance measure
get.p.dd.dw Permutation-based variable importance measure
HSEL.bigz Sample without replacement when the population can be huge.
MRPP Multiresponse permutation procedure and its variable importance and selection.
mrpp.test MRPP test for one-way design
mrpp.test.default MRPP test for one-way design
mrpp.test.dist MRPP test for one-way design
mrpp.test.formula MRPP test for one-way design
mrppBVS Backward variable selection for the MRPP
mrppBVS.test Backward variable selection for the MRPP
nparts Compute permutations of treatment assignments in a one-way design.
nperms.permutedTrt Compute permutations of treatment assignments in a one-way design.
ntrt.permutedTrt Compute permutations of treatment assignments in a one-way design.
permuteTrt Compute permutations of treatment assignments in a one-way design.
permvec2dec Factoradic numbers
permvec2FR Factoradic numbers
rejsample Sample without replacement when the population can be huge.
sample1 Sample without replacement when the population can be huge.
smrpp.penWt Computing Penalized Weights for Sparse Weighted MRPP Test for One-way Design
smrpp.test Sparse Weighted MRPP Test for One-way Design
smrpp.test.default Sparse Weighted MRPP Test for One-way Design
smrpp.test.formula Sparse Weighted MRPP Test for One-way Design
smrppInitSpar Default Smoothing parameters for Sparse Weighted MRPP Test
trt.permutedTrt Compute permutations of treatment assignments in a one-way design.