Package: PermCor 0.1.0

Mengyu Fang

PermCor: Robust Permutation Tests of Correlation Coefficients

Provides tools for statistical testing of correlation coefficients through robust permutation method and large sample approximation method. Tailored to different types of correlation coefficients including Pearson correlation coefficient, weighted Pearson correlation coefficient, Spearman correlation coefficient, and Lin's concordance correlation coefficient.The robust permutation test controls type I error under general scenarios when sample size is small and two variables are dependent but uncorrelated. The large sample approximation test generally controls type I error when the sample size is large (>200).

Authors:Mengyu Fang [aut, cre], Han Yu [aut], Alan Hutson [aut]

PermCor_0.1.0.tar.gz
PermCor_0.1.0.tar.gz(r-4.7-any)PermCor_0.1.0.tar.gz(r-4.6-any)
PermCor_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
PermCor/json (API)

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

On CRAN:

Conda:

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

1.00 score 1 scripts 138 downloads 2 exports 0 dependencies

Last updated from:20ee1a1940. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK95
source / vignettesOK135
linux-release-x86_64OK100
wasm-releaseOK75

Exports:asym_testperm_test

Dependencies: