R: Power-Enhanced (PE) Tests for High-Dimensional Data

# Power-Enhanced (PE) Tests for High-Dimensional Data

## Documentation for package ‘PEtests’ version 0.1.0

- DESCRIPTION file
- Package README

## Help Pages

PEtests-package | Power-Enhanced (PE) Tests for High-Dimensional Data
covtest | Two-sample covariance tests for high-dimensional data
covtest.clx | Two-sample high-dimensional covariance test (Cai, Liu and Xia, 2013)
covtest.lc | Two-sample high-dimensional covariance test (Li and Chen, 2012)
covtest.pe.cauchy | Two-sample PE covariance test for high-dimensional data via Cauchy combination
covtest.pe.comp | Two-sample PE covariance test for high-dimensional data via PE component
covtest.pe.fisher | Two-sample PE covariance test for high-dimensional data via Fisher's combination
meantest | Two-sample mean tests for high-dimensional data
meantest.clx | Two-sample high-dimensional mean test (Cai, Liu and Xia, 2014)
meantest.cq | Two-sample high-dimensional mean test (Chen and Qin, 2010)
meantest.pe.cauchy | Two-sample PE mean test for high-dimensional data via Cauchy combination
meantest.pe.comp | Two-sample PE mean test for high-dimensional data via PE component
meantest.pe.fisher | Two-sample PE mean test for high-dimensional data via Fisher's combination
simultest | Two-sample simultaneous tests on high-dimensional mean vectors and covariance matrices
simultest.cauchy | Two-sample simultaneous test using Cauchy combination
simultest.chisq | Two-sample simultaneous test using chi-squared approximation
simultest.fisher | Two-sample simultaneous test using Fisher's combination
simultest.pe.cauchy | Two-sample PE simultaneous test using Cauchy combination
simultest.pe.chisq | Two-sample PE simultaneous test using chi-squared approximation
simultest.pe.fisher | Two-sample PE simultaneous test using Fisher's combination