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cdcsis
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]
[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 25 Jun. 2026.
Previous versions and publish date:
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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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