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:
cdcsis_2.0.5.tar.gz
cdcsis_2.0.5.zip(r-4.7)cdcsis_2.0.5.zip(r-4.6)cdcsis_2.0.5.zip(r-4.5)
cdcsis_2.0.5.tgz(r-4.6-x86_64)cdcsis_2.0.5.tgz(r-4.6-arm64)cdcsis_2.0.5.tgz(r-4.5-x86_64)cdcsis_2.0.5.tgz(r-4.5-arm64)
cdcsis_2.0.5.tar.gz(r-4.7-arm64)cdcsis_2.0.5.tar.gz(r-4.7-x86_64)cdcsis_2.0.5.tar.gz(r-4.6-arm64)cdcsis_2.0.5.tar.gz(r-4.6-x86_64)
cdcsis_2.0.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
cdcsis/json (API)
NEWS
| # Install 'cdcsis' in R: |
| install.packages('cdcsis', repos = c('https://wencanhong.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mamba413/cdcsis/issues
Last updated from:efe5d74ef9. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 139 | ||
| linux-devel-x86_64 | OK | 150 | ||
| source / vignettes | OK | 192 | ||
| linux-release-arm64 | OK | 141 | ||
| linux-release-x86_64 | OK | 138 | ||
| macos-release-arm64 | OK | 156 | ||
| macos-release-x86_64 | OK | 346 | ||
| macos-oldrel-arm64 | OK | 166 | ||
| macos-oldrel-x86_64 | OK | 265 | ||
| windows-devel | OK | 129 | ||
| windows-release | OK | 124 | ||
| windows-oldrel | OK | 122 | ||
| wasm-release | OK | 95 |
Exports:cdcorcdcovcdcov.testcdcsis
Dependencies:FNNkernlabKernSmoothkslatticeMatrixmclustmgcvmulticoolmvtnormnlmepracmaRcpp
