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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.
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Package details |
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| Author | Hajk-Georg Drost [aut, cre] (<https://orcid.org/0000-0002-1567-306X>), Jakub Nowosad [ctb] (<https://orcid.org/0000-0002-1057-3721>) |
| Maintainer | Hajk-Georg Drost <hajk-georg.drost@tuebingen.mpg.de> |
| License | GPL-2 |
| Version | 0.8.0 |
| URL | https://github.com/drostlab/philentropy |
| Package repository | View on CRAN |
| Installation |
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