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:
PermCor_0.1.0.tar.gz
PermCor_0.1.0.zip(r-4.7-any)PermCor_0.1.0.zip(r-4.6-any)
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✨
DESCRIPTION
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:20ee1a1940. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 141 | ||
| source / vignettes | OK | 156 | ||
| linux-release | OK | 99 | ||
| windows-devel | OK | 60 | ||
| windows-release | OK | 59 | ||
| wasm-release | OK | 104 |
Dependencies:
