# A Fast Implementation of Distance Covariance

## Documentation for package ‘dcov’ version 0.1.1

- DESCRIPTION file.

## Help Pages

centering | Centering method This method implements the double centering and U-centering during computing distance covariance.
centering_from_data | Centering method This method implements the double centering and U-centering during computing distance covariance.
dcor | Distance covariance
dcor.test | Permutation test of distance correlation and partial distance correlation
dcor.ttest | Distance correlation T-test It uses the result of U-statistic distance correlation to test independence for high dimensional data
dcor2d | Fast distance covariance for two bivariate variables
dcov | Distance covariance
dcov2d | Fast distance covariance for two bivariate variables
mdcor | Marginal distance covariance This function implements the method of calculating distance covariance between y and each column in x
mdcov | Marginal distance covariance This function implements the method of calculating distance covariance between y and each column in x
pcov | Projection covariance between two random vectors This function implements the projection correlation in Zhu et al.(2017)
pdcor | Partial distance covariance
pdcor.test | Permutation test of distance correlation and partial distance correlation
pdcov | Partial distance covariance