Package: vsgoftest 1.0-1

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>.

Authors:Justine Lequesne [aut], Philippe Regnault [aut, cre]

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vsgoftest.pdf |vsgoftest.html
vsgoftest/json (API)

# Install 'vsgoftest' in R:
install.packages('vsgoftest', repos = c('https://testpregnault.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • aluminium1 - Organic and inorganic contaminant concentration data
  • aluminium2 - Organic and inorganic contaminant concentration data
  • manganese - Organic and inorganic contaminant concentration data
  • toluene - Organic and inorganic contaminant concentration data

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.38 score 24 scripts 179 downloads 10 exports 7 dependencies

Last updated 4 years agofrom:4d091f66be. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 06 2024
R-4.5-win-x86_64OKNov 06 2024
R-4.5-linux-x86_64OKNov 06 2024
R-4.4-win-x86_64OKNov 06 2024
R-4.4-mac-x86_64OKNov 06 2024
R-4.4-mac-aarch64OKNov 06 2024
R-4.3-win-x86_64OKNov 06 2024
R-4.3-mac-x86_64OKNov 06 2024
R-4.3-mac-aarch64OKNov 06 2024

Exports:dlaplacedparetoentropy.estimateplaplacepparetoqlaplaceqparetorlaplacerparetovs.test

Dependencies:fitdistrpluslatticeMASSMatrixRcpprlangsurvival

Tutorial

Rendered fromvsgoftest_tutorial.Rnwusingknitr::knitron Nov 06 2024.

Last update: 2020-12-17
Started: 2018-06-24