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.
Version: 2.0.5 Depends: R (≥ 3.0.1) Imports: ks (≥ 1.8.0), mvtnorm, utils, Rcpp LinkingTo: Rcpp Suggests: testthat Published: 2024-08-23 DOI: 10.32614/CRAN.package.cdcsis Author: Wenhao Hu [aut], Mian Huang [aut], Wenliang Pan [aut], Xueqin Wang [aut], Canhong Wen [aut, cre], Yuan Tian [aut], Heping Zhang [aut], Jin Zhu [aut] Maintainer: Canhong Wen <wench at ustc.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: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=cdcsis to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4