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.

Version: 0.5.0
Depends: R (≥ 3.1.2)
Imports: Rcpp, dplyr, KernSmooth
LinkingTo: Rcpp
Suggests: testthat, knitr, markdown
Published: 2021-05-12
Author: Hajk-Georg Drost ORCID iD [aut, cre]
Maintainer: Hajk-Georg Drost <hajk-georg.drost at>
License: GPL-2
NeedsCompilation: yes
Citation: philentropy citation info
Materials: README NEWS
CRAN checks: philentropy results


Reference manual: philentropy.pdf
Vignettes: Distances
Information Theory


Package source: philentropy_0.5.0.tar.gz
Windows binaries: r-devel:, r-devel-UCRT:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): philentropy_0.5.0.tgz, r-release (x86_64): philentropy_0.5.0.tgz, r-oldrel: philentropy_0.5.0.tgz
Old sources: philentropy archive

Reverse dependencies:

Reverse imports: biomartr, DIscBIO, EcotoneFinder, EnvNJ, iSubGen, jenga, motif, musicatk, noisyr, SemNeT, tetragon
Reverse suggests: mmb


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