skinnider/dismay: dismay: distance metrics for matrices

dismay provides a common interface to calculate seventeen measures of association for matrices. Measures of association accessible through this common interface include standard correlations (Pearson, Spearman, Kendall), biweight midcorrelation, weighted rank correlation, a zero-inflated Kendall's tau, mutual information, the gene co-dependency index, Jaccard distance, cosine similarity, the Sorenson-Dice coefficient, Hamming distance, Canberra, Euclidean, and Manhattan distances, and two symmetric measures of proportionality.

Getting started

Package details

Maintainer
LicenseMIT
Version0.0.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("skinnider/dismay")
skinnider/dismay documentation built on March 2, 2019, 12:25 a.m.