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 <https://www3.stat.sinica.edu.tw/statistica/J28N1/J28N114/J28N114.html>, and conducts conditional distance covariance test for conditional independence assumption of two multivariate variable.">

cdcsis: Conditional Distance Correlation Based Feature Screening and Conditional Independence Inference (original) (raw)

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 <https://www3.stat.sinica.edu.tw/statistica/J28N1/J28N114/J28N114.html>, and conducts conditional distance covariance test for conditional independence assumption of two multivariate variable.

Version: 2.0.5
Depends: R (≥ 3.0.1)
Imports: ks (≥ 1.8.0), mvtnorm, utils, Rcpp
LinkingTo: Rcpp
Suggests: testthat
Published: 2024-08-23
DOI: 10.32614/CRAN.package.cdcsis
Author: Wenhao Hu [aut], Mian Huang [aut], Wenliang Pan [aut], Xueqin Wang ORCID iD [aut], Canhong Wen [aut, cre], Yuan Tian [aut], Heping Zhang ORCID iD [aut], Jin Zhu ORCID iD [aut]
Maintainer: Canhong Wen
BugReports: https://github.com/Mamba413/cdcsis/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/Mamba413/cdcsis
NeedsCompilation: yes
Materials: README, NEWS
CRAN checks: cdcsis results

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