philentropy: 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.

Version: 0.2.0
Depends: R (≥ 3.1.2)
Imports: Rcpp, dplyr, KernSmooth
LinkingTo: Rcpp
Suggests: testthat, knitr
Published: 2018-05-22
Author: Hajk-Georg Drost ORCID iD [aut, cre]
Maintainer: Hajk-Georg Drost <hgd23 at cam.ac.uk>
License: GPL-2
URL: https://github.com/HajkD/philentropy
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: philentropy results

Downloads:

Reference manual: philentropy.pdf
Vignettes: Distances
Information Theory
Introduction
Package source: philentropy_0.2.0.tar.gz
Windows binaries: r-devel: philentropy_0.2.0.zip, r-release: philentropy_0.2.0.zip, r-oldrel: philentropy_0.2.0.zip
OS X binaries: r-release: philentropy_0.2.0.tgz, r-oldrel: philentropy_0.2.0.tgz
Old sources: philentropy archive

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