jeffreys

a numeric vector storing the first distribution.

a numeric vector storing the second distribution.

a logical value indicating whether or not distributions shall be checked for <code>NA</code> values.

testNA

type of <code>log</code> function. Option are<ul>
<li><code>unit = "log"</code></li>
<li><code>unit = "log2"</code></li>
<li><code>unit = "log10"</code></li>
</ul>

unit

The lowlevel function for computing the jeffreys distance.

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.

jeffreys: Jeffreys distance (lowlevel function)

Description

Usage

Arguments

Examples