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cdcsis  

Conditional Distance Correlation Based Feature Screening and Conditional Independence Inference
View on CRAN: Click here


Download and install cdcsis package within the R console
Install from CRAN:
install.packages("cdcsis")

Install from Github:
library("remotes")
install_github("cran/cdcsis")

Install by package version:
library("remotes")
install_version("cdcsis", "2.0.5")



Attach the package and use:
library("cdcsis")
Maintained by
Canhong Wen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-10-21
Latest Update: 2024-08-23
Description:
Conditional distance correlation 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 , and conducts conditional distance covariance test for conditional independence assumption of two multivariate variable.
How to cite:
Canhong Wen (2014). cdcsis: Conditional Distance Correlation Based Feature Screening and Conditional Independence Inference. R package version 2.0.5, https://cran.r-project.org/web/packages/cdcsis. Accessed 27 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:25), 1.0 (2014-10-21 17:48), 2.0.0 (2019-01-09 16:20), 2.0.1 (2019-04-16 15:02), 2.0.2 (2019-05-31 15:10), 2.0.3 (2019-07-10 13:30), 2.0.4 (2024-07-07 06:40)
Other packages that cited cdcsis R package
View cdcsis citation profile
Other R packages that cdcsis depends, imports, suggests or enhances
Complete documentation for cdcsis
Functions, R codes and Examples using the cdcsis R package
Some associated functions: cdcov . cdcov.test . cdcsis-package . cdcsis . 
Some associated R codes: RcppExports.R . cdcov.R . cdcsis-package.R . cdcsis.R . utility.R .  Full cdcsis package functions and examples
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