HajkD/philentropy: Similarity and Distance Quantification Between Probability Functions

Computes 46 optimized distance and similarity measures for comparing probability functions (Drost (2018) <doi:10.21105/joss.00765>). These comparisons between probability functions have their foundations in a broad range of scientific disciplines from mathematics to ecology. The aim of this package is to provide a core framework for clustering, classification, statistical inference, goodness-of-fit, non-parametric statistics, information theory, and machine learning tasks that are based on comparing univariate or multivariate probability functions.

Getting started

Package details

MaintainerHajk-Georg Drost <[email protected]>
LicenseGPL-2
Version0.4.0.9000
URL https://github.com/HajkD/philentropy
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("HajkD/philentropy")
HajkD/philentropy documentation built on Feb. 13, 2019, 1:32 p.m.