Package: cdcsis
Type: Package
Title: Conditional Distance Correlation Based Feature Screening and
        Conditional Independence Inference
Description: 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 <http://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: 2.0.3
Date: 2019-7-9
Author: Wenhao Hu, Mian Huang, Wenliang Pan, Xueqin Wang, Canhong Wen, Yuan Tian, Heping Zhang, Jin Zhu
Depends: R(>= 3.0.1)
Imports: ks (>= 1.8.0), mvtnorm, utils, Rcpp
Suggests: testthat
Maintainer: Jin Zhu <zhuj37@mail2.sysu.edu.cn>
License: GPL (>= 2)
NeedsCompilation: yes
Encoding: UTF-8
RoxygenNote: 6.1.1
LinkingTo: Rcpp
URL: https://github.com/Mamba413/cdcsis
BugReports: https://github.com/Mamba413/cdcsis/issues
Packaged: 2019-07-10 09:06:44 UTC; Mamba
Repository: CRAN
Date/Publication: 2019-07-10 11:30:03 UTC
Built: R 4.0.2; x86_64-apple-darwin17.0; 2020-07-16 05:42:39 UTC; unix
Archs: cdcsis.so.dSYM
