Installation
About
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.
Citation | philentropy citation info |
github.com/drostlab/philentropy | |
Bug report | File report |
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Depends
R | ≥ 3.1.2 |