meantrix/corrP: Compute Correlations Type Analysis in Parallel

Compute multiple types of correlation analyses, including Pearson correlation, R^2 coefficient of linear regression, Cramer's V measure of association, distance correlation, the Maximal Information Coefficient, uncertainty coefficient, and Predictive Power Score in large data frames with mixed column classes (integer, numeric, factor, and character) using a parallel backend. This package also includes a C++ implementation of the average correlation clustering algorithm and distance correlation t-test.

install.packages("remotes")
remotes::install_github("meantrix/corrP")