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.

Package details

AuthorHajk-Georg Drost [aut, cre] (<>)
MaintainerHajk-Georg Drost <>
Package repositoryView on CRAN
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philentropy documentation built on May 12, 2021, 5:07 p.m.