Conditional Distance Correlation Based Feature Screening and Conditional Independence Inference R package cdcsis version 2.0.5 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. Software Depends: R(>= 3.0.1) Imports: ks (>= 1.8.0), mvtnorm, utils, Rcpp LinkingTo: Rcpp Suggests: testthat Canhong Wen <wench@ustc.edu.cn> Comprehensive R Archive Network (CRAN) Wenhao Hu [aut], Mian Huang [aut], Wenliang Pan [aut], Xueqin Wang [aut] (ORCID: <https://orcid.org/0000-0001-5205-9950>), Canhong Wen [aut, cre], Yuan Tian [aut], Heping Zhang [aut] (ORCID: <https://orcid.org/0000-0002-0688-4076>), Jin Zhu [aut] (ORCID: <https://orcid.org/0000-0001-8550-5822>) GPL (>= 2) 2024-08-23 application/tgz https://CRAN.R-project.org/package=cdcsis doi:10.32614/CRAN.package.cdcsis