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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: | 2.0.4 |
Depends: | R (≥ 3.0.1) |
Imports: | ks (≥ 1.8.0), mvtnorm, utils, Rcpp |
LinkingTo: | Rcpp |
Suggests: | testthat |
Published: | 2024-07-07 |
DOI: | 10.32614/CRAN.package.cdcsis |
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 |
Reference manual: | cdcsis.pdf |
Package source: | cdcsis_2.0.4.tar.gz |
Windows binaries: | r-devel: cdcsis_2.0.4.zip, r-release: cdcsis_2.0.4.zip, r-oldrel: cdcsis_2.0.4.zip |
macOS binaries: | r-release (arm64): cdcsis_2.0.4.tgz, r-oldrel (arm64): cdcsis_2.0.4.tgz, r-release (x86_64): cdcsis_2.0.4.tgz, r-oldrel (x86_64): cdcsis_2.0.4.tgz |
Old sources: | cdcsis archive |
Reverse imports: | causalBatch |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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