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On the recordRead 12 Oct 202617 facts
philentropy
Plans and prices
philentropy
Free
R package · GPL-2 licensed
Read 12 Oct 2026 · drostlab.github.io
On the record
- Data import formats
- R matrix, data.framedrostlab.github.io · read 24 Sep 2026
- Deployment
- desktopdrostlab.github.io · read 24 Sep 2026
- Distance methods
- Its distance() function implements 46 probability distance and similarity measures.drostlab.github.io · read 12 Oct 2026
- Information theory
- The package includes functions for Shannon entropy, joint entropy, conditional entropy, mutual information, Kullback–Leibler divergence, and Jensen–Shannon divergence.drostlab.github.io · read 12 Oct 2026
- Input handling
- The package can estimate probability vectors from counts and compare many probability density functions.drostlab.github.io · read 12 Oct 2026
- Installation
- The site provides installation instructions for the CRAN package and a developer version installable from GitHub.drostlab.github.io · read 12 Oct 2026
- Integrations
- The CRAN package imports Rcpp, RcppParallel, KernSmooth, and poorman.cloud.r-project.org · read 12 Oct 2026
- Intended users
- The introduction says the package is aimed at scientific work comparing univariate or multivariate probability functions across disciplines including mathematics and ecology.drostlab.github.io · read 12 Oct 2026
- License
- The project lists GPL-2 as its license.drostlab.github.io · read 12 Oct 2026
- Maintainer
- The project identifies Hajk-Georg Drost as author and maintainer and says he develops philentropy in his spare time.drostlab.github.io · read 12 Oct 2026
- 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.drostlab.github.io · read 12 Oct 2026
- Purpose
- The R package implements distance and similarity measures for comparing probability density functions and information theory measures.drostlab.github.io · read 12 Oct 2026
- Scripting support
- Yesdrostlab.github.io · read 24 Sep 2026
- Support
- The project links to GitHub for reporting bugs.drostlab.github.io · read 12 Oct 2026
- 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.drostlab.github.io · read 12 Oct 2026
