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.

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:

Reference manual:

cdcsis.pdf

Downloads:

Package source:	cdcsis_2.0.5.tar.gz
Windows binaries:	r-devel: cdcsis_2.0.5.zip, r-release: cdcsis_2.0.5.zip, r-oldrel: cdcsis_2.0.5.zip
macOS binaries:	r-release (arm64): cdcsis_2.0.5.tgz, r-oldrel (arm64): cdcsis_2.0.5.tgz, r-release (x86_64): cdcsis_2.0.5.tgz, r-oldrel (x86_64): cdcsis_2.0.5.tgz
Old sources:	cdcsis archive

Reverse dependencies:

Reverse imports:

causalBatch

Linking:

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