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vsgoftest: Goodness-of-Fit Tests Based on Kullback-Leibler Divergence

An implementation of Vasicek and Song goodness-of-fit tests. Several functions are provided to estimate differential Shannon entropy, i.e., estimate Shannon entropy of real random variables with density, and test the goodness-of-fit of some family of distributions, including uniform, Gaussian, log-normal, exponential, gamma, Weibull, Pareto, Fisher, Laplace and beta distributions; see Lequesne and Regnault (2020) <doi:10.18637/jss.v096.c01>.

Version: 1.0-1
Depends: stats, fitdistrplus
Imports: Rcpp (≥ 0.12.1)
LinkingTo: Rcpp
Suggests: knitr
Published: 2020-12-17
DOI: 10.32614/CRAN.package.vsgoftest
Author: Justine Lequesne [aut], Philippe Regnault [aut, cre]
Maintainer: Philippe Regnault <philipperegnault at hotmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: vsgoftest citation info
CRAN checks: vsgoftest results

Documentation:

Reference manual: vsgoftest.pdf
Vignettes: Tutorial

Downloads:

Package source: vsgoftest_1.0-1.tar.gz
Windows binaries: r-devel: vsgoftest_1.0-1.zip, r-release: vsgoftest_1.0-1.zip, r-oldrel: vsgoftest_1.0-1.zip
macOS binaries: r-release (arm64): vsgoftest_1.0-1.tgz, r-oldrel (arm64): vsgoftest_1.0-1.tgz, r-release (x86_64): vsgoftest_1.0-1.tgz, r-oldrel (x86_64): vsgoftest_1.0-1.tgz
Old sources: vsgoftest archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=vsgoftest to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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