philentropy (0.4.0)

Similarity and Distance Quantification Between Probability Functions.

Computes 46 optimized distance and similarity measures for comparing probability functions (Drost (2018) ). 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.

Maintainer: Hajk-Georg Drost
Author(s): Hajk-Georg Drost [aut, cre] (<>)

License: GPL-2

Uses: dplyr, KernSmooth, Rcpp, testthat, knitr

Released about 1 month ago.