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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.
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Package details |
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| Author | Niklas Hartung [aut, cre, cph] (<https://orcid.org/0000-0002-4000-6525>) |
| Maintainer | Niklas Hartung <niklas.hartung@gmail.com> |
| License | MIT + file LICENSE |
| Version | 1.0.0 |
| URL | https://niklhart.github.io/kldest/ |
| Package repository | View on CRAN |
| Installation |
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