cdcsis (2.0.1)

Conditional Distance Correlation Based Feature Screening and Conditional Independence Inference.

https://github.com/Mamba413/cdcsis
http://cran.r-project.org/web/packages/cdcsis

Conditional distance correlation is a novel conditional dependence measurement of two multivariate random variables given a confounding variable. This package provides conditional distance correlation, performs the conditional distance correlation sure independence screening procedure for ultrahigh dimensional data , and conducts conditional distance covariance test for conditional independence assumption of two multivariate variable.

Maintainer: Jin Zhu
Author(s): Wenhao Hu, Mian Huang, Wenliang Pan, Xueqin Wang, Canhong Wen, Yuan Tian, Heping Zhang, Jin Zhu

License: GPL (>= 2)

Uses: ks, mvtnorm, Rcpp, testthat

Released 5 months ago.