kldest: Sample-Based Estimation of Kullback-Leibler Divergence (original) (raw)

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 ORCID iD [aut, cre, cph]
Maintainer: Niklas Hartung <niklas.hartung at gmail.com>
BugReports: https://github.com/niklhart/kldest/issues
License: MIT + file
URL: https://niklhart.github.io/kldest/
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: kldest results

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