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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.
Getting started
Browse package contents
Package details |
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| Author | Wenhao Hu, Mian Huang, Wenliang Pan, Xueqin Wang, Canhong Wen, Yuan Tian, Heping Zhang, Jin Zhu |
| Maintainer | Jin Zhu <zhuj37@mail2.sysu.edu.cn> |
| License | GPL (>= 2) |
| Version | 2.0.3 |
| URL | https://github.com/Mamba413/cdcsis |
| Package repository | View on CRAN |
| Installation |
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