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 <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.
- Version2.0.5
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release08/23/2024
Documentation
Team
Canhong Wen
Jin Zhu
Show author detailsRolesAuthorWenliang Pan
Show author detailsRolesAuthorYuan Tian
Show author detailsRolesAuthorHeping Zhang
Show author detailsRolesAuthorXueqin Wang
Wenhao Hu
Show author detailsRolesAuthorMian Huang
Show author detailsRolesAuthor
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- Imports3 packages
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