cdcsis: Conditional Distance Correlation Based Feature Screening and Conditional Independence Inference

Conditional distance correlation <doi:10.1080/01621459.2014.993081> 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 <doi:10.5705/ss.202014.0117>, and conducts conditional distance covariance test for conditional independence assumption of two multivariate variable.

Package details

AuthorWenhao Hu, Mian Huang, Wenliang Pan, Xueqin Wang, Canhong Wen, Yuan Tian, Heping Zhang, Jin Zhu
MaintainerJin Zhu <[email protected]>
LicenseGPL (>= 2)
Version2.0.0
URL https://github.com/Mamba413/cdcsis
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("cdcsis")

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cdcsis documentation built on Jan. 9, 2019, 5:04 p.m.