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: 0.8.0
Depends: R (≥ 3.1.2)
Imports: Rcpp, KernSmooth, poorman
LinkingTo: Rcpp
Suggests: testthat, knitr, rmarkdown, microbenchmark
Published: 2023-12-02
DOI: 10.32614/CRAN.package.philentropy
Author: Hajk-Georg Drost ORCID iD [aut, cre], Jakub Nowosad ORCID iD [ctb]
Maintainer: Hajk-Georg Drost <hajk-georg.drost at tuebingen.mpg.de>
BugReports: https://github.com/drostlab/philentropy/issues
License: GPL-2
URL: https://github.com/drostlab/philentropy
NeedsCompilation: yes
Citation: philentropy citation info
Materials: README NEWS
CRAN checks: philentropy results [issues need fixing before 2024-11-12]

Documentation:

Reference manual: philentropy.pdf
Vignettes: Distances
Information Theory
Introduction
Comparing many probability density functions

Downloads:

Package source: philentropy_0.8.0.tar.gz
Windows binaries: r-devel: philentropy_0.8.0.zip, r-release: philentropy_0.8.0.zip, r-oldrel: philentropy_0.8.0.zip
macOS binaries: r-release (arm64): philentropy_0.8.0.tgz, r-oldrel (arm64): philentropy_0.8.0.tgz, r-release (x86_64): philentropy_0.8.0.tgz, r-oldrel (x86_64): philentropy_0.8.0.tgz
Old sources: philentropy archive

Reverse dependencies:

Reverse imports: biomartr, codez, EcotoneFinder, EnvNJ, GRelevance, iSubGen, jenga, motif, mSigTools, musicatk, naive, noisyr, regional, segen, SemNeT, spooky, supercells, tetragon
Reverse suggests: miaSim, mmb, priorsense, Rfast, tidytof

Linking:

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