philentropy: Similarity and Distance Quantification Between Probability Functions
Version 0.2.0

Computes 46 optimized distance and similarity measures for comparing probability functions. 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] (<>>)
Date of publication2018-05-22 17:06:06 UTC
MaintainerHajk-Georg Drost <[email protected]>
Package repositoryView on CRAN
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philentropy documentation built on May 23, 2018, 1:04 a.m.