Package: newIMVC 0.1.0

newIMVC: A Robust Integrated Mean Variance Correlation

Measure the dependence structure between two random variables with IMVC and extend IMVC to hypothesis test, feature screening and FDR control.

Authors:Wei Xiong [aut], Han Pan [aut, cre], Hengjian Cui [aut]

newIMVC_0.1.0.tar.gz
newIMVC_0.1.0.zip(r-4.7-any)newIMVC_0.1.0.zip(r-4.6-any)newIMVC_0.1.0.zip(r-4.5-any)
newIMVC_0.1.0.tgz(r-4.6-any)newIMVC_0.1.0.tgz(r-4.5-any)
newIMVC_0.1.0.tar.gz(r-4.7-any)newIMVC_0.1.0.tar.gz(r-4.6-any)
newIMVC_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
newIMVC/json (API)

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

Bug tracker:https://github.com/scottpanhan/newimvc/issues

On CRAN:

Conda:

2.70 score 245 downloads 4 exports 13 dependencies

Last updated from:93e66fb6e8. Checks:7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develWARNING108
source / vignettesOK330
linux-releaseWARNING110
macos-releaseWARNING180
macos-oldrelWARNING192
windows-develWARNING89
windows-releaseWARNING77
windows-oldrelWARNING78
wasm-releaseOK84

Exports:IMVCIMVCFDRIMVCSIMVCT

Dependencies:CompQuadFormexpmGGMridgelatticelimmaMASSMatrixMatrixModelsmvtnormquantregSparseMstatmodsurvival