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PermCor  

Robust Permutation Tests of Correlation Coefficients
View on CRAN: Click here


Download and install PermCor package within the R console
Install from CRAN:
install.packages("PermCor")

Install from Github:
library("remotes")
install_github("cran/PermCor")

Install by package version:
library("remotes")
install_version("PermCor", "0.1.0")



Attach the package and use:
library("PermCor")
Maintained by
Mengyu Fang
[Scholar Profile | Author Map]
First Published: 2024-08-19
Latest Update: 2024-08-19
Description:
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).
How to cite:
Mengyu Fang (2024). PermCor: Robust Permutation Tests of Correlation Coefficients. R package version 0.1.0, https://cran.r-project.org/web/packages/PermCor. Accessed 03 May. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited PermCor R package
View PermCor citation profile
Other R packages that PermCor depends, imports, suggests or enhances
Complete documentation for PermCor
Functions, R codes and Examples using the PermCor R package
Full PermCor package functions and examples
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