philentropy

Spec sheet

Purpose

The R package implements distance and similarity measures for comparing probability density functions and information theory measures.Read 12 Oct 2026 · drostlab.github.io

Intended users

The introduction says the package is aimed at scientific work comparing univariate or multivariate probability functions across disciplines including mathematics and ecology.Read 12 Oct 2026 · drostlab.github.io

Platforms

CRAN lists Windows and macOS binaries and provides a source package; its package information lists R as a dependency.Read 12 Oct 2026 · cloud.r-project.org

Deployment

desktopRead 24 Sep 2026 · drostlab.github.io

Free plan

YesRead 24 Sep 2026 · drostlab.github.io

Integrations

The CRAN package imports Rcpp, RcppParallel, KernSmooth, and poorman.Read 12 Oct 2026 · cloud.r-project.org

Support

The project links to GitHub for reporting bugs.Read 12 Oct 2026 · drostlab.github.io

License

The project lists GPL-2 as its license.Read 12 Oct 2026 · drostlab.github.io

Data import formats

R matrix, data.frameRead 24 Sep 2026 · drostlab.github.io

Distance methods

Its distance() function implements 46 probability distance and similarity measures.Read 12 Oct 2026 · drostlab.github.io

Information theory

The package includes functions for Shannon entropy, joint entropy, conditional entropy, mutual information, Kullback–Leibler divergence, and Jensen–Shannon divergence.Read 12 Oct 2026 · drostlab.github.io

Input handling

The package can estimate probability vectors from counts and compare many probability density functions.Read 12 Oct 2026 · drostlab.github.io

Installation

The site provides installation instructions for the CRAN package and a developer version installable from GitHub.Read 12 Oct 2026 · drostlab.github.io

Maintainer

The project identifies Hajk-Georg Drost as author and maintainer and says he develops philentropy in his spare time.Read 12 Oct 2026 · drostlab.github.io

Performance

The 0.10.0 changelog says the distance calculation engine was refactored with C++ template metaprogramming and RcppParallel for speed and memory usage improvements.Read 12 Oct 2026 · drostlab.github.io

Scripting support

YesRead 24 Sep 2026 · drostlab.github.io

Use cases

The package is intended for clustering, classification, statistical inference, goodness-of-fit, non-parametric statistics, information theory, and machine learning tasks involving probability functions.Read 12 Oct 2026 · drostlab.github.io

Plans and prices

Every philentropy plan and price →

Where Specifiction places it

• Statistical Analysis Software#63 of 1067.6