Conditional Distance Correlation Based Feature Screening and Conditional Independence Inference

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.


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install.packages("cdcsis")

2.0.0 by Jin Zhu, a month ago


https://github.com/Mamba413/cdcsis


Report a bug at https://github.com/Mamba413/cdcsis/issues


Browse source code at https://github.com/cran/cdcsis


Authors: Wenhao Hu , Mian Huang , Wenliang Pan , Xueqin Wang , Canhong Wen , Yuan Tian , Heping Zhang , Jin Zhu


Documentation:   PDF Manual  


GPL (>= 2) license


Imports ks, mvtnorm, Rcpp

Suggests testthat

Linking to Rcpp


See at CRAN