Computes 46 optimized distance and similarity measures for comparing probability functions. 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.
|Author||Hajk-Georg Drost [aut, cre] (<https://orcid.org/0000-0002-1567-306X>>)|
|Maintainer||Hajk-Georg Drost <[email protected]>|
|Package repository||View on CRAN|
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