philentropy (0.0.2)

Similarity and Distance Quantification Between Probability Functions.

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.

Maintainer: Hajk-Georg Drost
Author(s): Hajk-Georg Drost

License: GPL-2

Uses: dplyr, KernSmooth, Rcpp, testthat, knitr

Released almost 3 years ago.