getDistMethods

<p>This function returns the names of the methods that can be applied
to compute distances between probability density functions using the <code><a rd-options="" href="/link/distance?package=philentropy&version=0.4.0" data-mini-rdoc="philentropy::distance">distance</a></code> 
function.</p>

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.

Hajk-Georg Drost

philentropy

Similarity and Distance Quantification Between Probability
Functions

getDistMethods function

<p>This function returns the names of the methods that can be applied
to compute distances between probability density functions using the <code><a rd-options='' href='distance'>distance</a></code> 
function.</p>

getDistMethods: Get method names for `distance`

Description

Usage

Arguments

Examples