kldest: Sample-Based Estimation of Kullback-Leibler Divergence

Estimation algorithms for Kullback-Leibler divergence between two probability distributions, based on one or two samples, and including uncertainty quantification. Distributions can be uni- or multivariate and continuous, discrete or mixed.

Version:	1.0.0
Imports:	stats, RANN
Suggests:	knitr, rmarkdown, KernSmooth, testthat (≥ 3.0.0)
Published:	2024-04-09
DOI:	10.32614/CRAN.package.kldest
Author:	Niklas Hartung [aut, cre, cph]
Maintainer:	Niklas Hartung <niklas.hartung at gmail.com>
BugReports:	https://github.com/niklhart/kldest/issues
License:	MIT + file LICENSE
URL:	https://niklhart.github.io/kldest/
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	kldest results

Documentation:

Reference manual:

kldest.html , kldest.pdf

Downloads:

Package source:	kldest_1.0.0.tar.gz
Windows binaries:	r-devel: kldest_1.0.0.zip, r-release: kldest_1.0.0.zip, r-oldrel: kldest_1.0.0.zip
macOS binaries:	r-release (arm64): kldest_1.0.0.tgz, r-oldrel (arm64): kldest_1.0.0.tgz, r-release (x86_64): kldest_1.0.0.tgz, r-oldrel (x86_64): kldest_1.0.0.tgz

Linking:

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