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 (2018) <arXiv:1806.07244>.
Version: | 0.3-2 |
Depends: | stats, fitdistrplus |
Imports: | Rcpp (≥ 0.12.1) |
LinkingTo: | Rcpp |
Suggests: | knitr |
Published: | 2018-06-24 |
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 |
Reference manual: | vsgoftest.pdf |
Vignettes: |
Tutorial |
Package source: | vsgoftest_0.3-2.tar.gz |
Windows binaries: | r-devel: vsgoftest_0.3-2.zip, r-release: vsgoftest_0.3-2.zip, r-oldrel: vsgoftest_0.3-2.zip |
macOS binaries: | r-release: vsgoftest_0.3-2.tgz, r-oldrel: vsgoftest_0.3-2.tgz |
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