Similarity and Distance Quantification Between Probability Functions

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.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.0.3 by Hajk-Georg Drost, 4 months ago

Browse source code at

Authors: Hajk-Georg Drost

Documentation:   PDF Manual  

GPL-2 license

Imports Rcpp, dplyr, KernSmooth

Suggests testthat, knitr

Linking to Rcpp

See at CRAN