Package: cdcsis 2.0.5

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.

Authors: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]

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cdcsis.pdf |cdcsis.html
cdcsis/json (API)
NEWS

# Install 'cdcsis' in R:
install.packages('cdcsis', repos = c('https://wencanhong.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/mamba413/cdcsis/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

2.88 score 1 stars 1 packages 25 scripts 332 downloads 4 exports 13 dependencies

Last updated 2 months agofrom:efe5d74ef9. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 24 2024
R-4.5-win-x86_64OKOct 24 2024
R-4.5-linux-x86_64OKOct 24 2024
R-4.4-win-x86_64OKOct 24 2024
R-4.4-mac-x86_64OKOct 24 2024
R-4.4-mac-aarch64OKOct 24 2024
R-4.3-win-x86_64OKOct 24 2024
R-4.3-mac-x86_64OKOct 24 2024
R-4.3-mac-aarch64OKOct 24 2024

Exports:cdcorcdcovcdcov.testcdcsis

Dependencies:FNNkernlabKernSmoothkslatticeMatrixmclustmgcvmulticoolmvtnormnlmepracmaRcpp