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kldest: Sample-Based Estimation of Kullback-Leibler Divergence
Description
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.
Author(s)
Maintainer: Niklas Hartung niklas.hartung@gmail.com (ORCID) [copyright holder]
See Also
Useful links:
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| kldest-package | R Documentation |
kldest: Sample-Based Estimation of Kullback-Leibler Divergence
Description
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.
Author(s)
Maintainer: Niklas Hartung niklas.hartung@gmail.com (ORCID) [copyright holder]
See Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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