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 <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 |
| Depends: |
R (≥ 3.0.1) |
| Imports: |
ks (≥ 1.8.0), mvtnorm, utils, Rcpp |
| LinkingTo: |
Rcpp |
| Suggests: |
testthat |
| Published: |
2019-07-10 |
| Author: |
Wenhao Hu, Mian Huang, Wenliang Pan, Xueqin Wang, Canhong Wen, Yuan Tian, Heping Zhang, Jin Zhu |
| Maintainer: |
Jin Zhu <zhuj37 at mail2.sysu.edu.cn> |
| 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 |
Documentation:
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