Package: multiCorr 0.1.0

multiCorr: Multicovariance and Multicorrelation for p-Variables

Implements the multicorrelation coefficient for p-variables as described in Cankaya (2023). The package provides a numerically stable implementation using logarithmic transformations and a log-sum-exp approach to reduce numerical overflow and underflow when calculations involve a large number of variables.

Authors:Mehmet Niyazi Cankaya [aut, cre]

multiCorr_0.1.0.tar.gz
multiCorr_0.1.0.zip(r-4.7-any)multiCorr_0.1.0.zip(r-4.6-any)multiCorr_0.1.0.zip(r-4.5-any)
multiCorr_0.1.0.tgz(r-4.6-any)multiCorr_0.1.0.tgz(r-4.5-any)
multiCorr_0.1.0.tar.gz(r-4.7-any)multiCorr_0.1.0.tar.gz(r-4.6-any)
multiCorr_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
multiCorr/json (API)

# Install 'multiCorr' in R:

install.packages('multiCorr', repos = c('https://githubmehmetcankaya.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 exports 0 dependencies

Last updated from:951727a539. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	150
source / vignettes	OK	153
linux-release	OK	124
macos-release	OK	122
macos-oldrel	OK	169
windows-devel	OK	58
windows-release	OK	55
windows-oldrel	OK	63
wasm-release	OK	93