CRAN/E | cdcsis

cdcsis

Conditional Distance Correlation Based Feature Screening and Conditional Independence Inference

Installation

About

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 , and conducts conditional distance covariance test for conditional independence assumption of two multivariate variable.

github.com/Mamba413/cdcsis
Bug report File report

Key Metrics

Version 2.0.3
R ≥ 3.0.1
Published 2019-07-10 1753 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks cdcsis results

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Maintainer

Maintainer

Jin Zhu

zhuj37@mail2.sysu.edu.cn

Authors

Wenhao Hu
Mian Huang
Wenliang Pan
Xueqin Wang
Canhong Wen
Yuan Tian
Heping Zhang
Jin Zhu

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

cdcsis archive

Depends

R ≥ 3.0.1

Imports

ks ≥ 1.8.0
mvtnorm
utils
Rcpp

Suggests

testthat

LinkingTo

Rcpp