Measuring and Testing Dependence by a Robust Integrated Variance Correlation | Installation | Example | References
Package: IVCor 0.1.0
IVCor: A Robust Integrated Variance Correlation
A integrated variance correlation is proposed to measure the dependence between a categorical or continuous random variable and a continuous random variable or vector. This package is designed to estimate the new correlation coefficient with parametric and nonparametric approaches. Test of independence for different problems can also be implemented via the new correlation coefficient with this package.
Authors:
IVCor_0.1.0.tar.gz
IVCor_0.1.0.zip(r-4.7-any)IVCor_0.1.0.zip(r-4.6-any)IVCor_0.1.0.zip(r-4.5-any)
IVCor_0.1.0.tgz(r-4.6-any)IVCor_0.1.0.tgz(r-4.5-any)
IVCor_0.1.0.tar.gz(r-4.7-any)IVCor_0.1.0.tar.gz(r-4.6-any)
IVCor_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
IVCor/json (API)
| # Install 'IVCor' in R: |
| install.packages('IVCor', repos = c('https://scottpanhan.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:0fb69e3632. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 151 | ||
| source / vignettes | OK | 330 | ||
| linux-release | OK | 124 | ||
| macos-release | OK | 164 | ||
| macos-oldrel | OK | 209 | ||
| windows-devel | OK | 89 | ||
| windows-release | OK | 86 | ||
| windows-oldrel | OK | 95 | ||
| wasm-release | OK | 92 |
Exports:IVCIVC_critIVC_IntervalIVCCAIVCCA_critIVCCATIVCLLQIVCTIVCT_IntervalIVCTLLQ
Dependencies:BwQuantKernSmoothlatticeMASSMatrixMatrixModelsmvtnormnleqslvquantdrquantregSparseMsurvival
