R: Providing Fast and Flexible Functions for Distance Correlation Analysis

# Providing Fast and Flexible Functions for Distance Correlation Analysis

## Documentation for package ‘dcortools’ version 0.1.7

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

dcmatrix | Calculates distance covariance and distance correlation matrices
dcorgaussianbiv | Calculates distance correlation from Pearson correlation under assumption of a bivariate normal distribution
dcsis | Performs distance correlation sure independence screening (Li et al. 2012) with some additional options (such as calculating corresponding tests).
distcor | Calculates the distance correlation (Szekely et al. 2007; Szekely and Rizzo 2009).
distcov | Calculates the distance covariance (Szekely et al. 2007; Szekely and Rizzo 2009).
distcov.test | Performs a distance covariance test.
distsd | Calculates the distance standard deviation (Edelmann et al. 2020).
extract_np | Extract the dimensions of X.
hsplot | Plots Pearson/Spearman/Kendall correlation against distance correlation (often resembling a horseshoe(hs)).
ipcw.dcor | Calculates an inverse-probability-of-censoring weighted (IPCW) distance correlation based on IPCW U-statistics (Datta et al. 2010).
ipcw.dcov | Calculates an inverse-probability-of-censoring weighted (IPCW) distance covariance based on IPCW U-statistics (Datta et al. 2010).
ipcw.dcov.test | Performs a permutation test based on the IPCW distance covariance.
plot.dcmatrix | Plots a heatmap from a dcmatrix object using the function "pheatmap" from the package "pheatmap".