Nothing
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>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Justine Lequesne [aut], Philippe Regnault [aut, cre] |
| Maintainer | Philippe Regnault <philipperegnault@hotmail.com> |
| License | GPL (>= 2) |
| Version | 1.0-1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the vsgoftest package in your browser
Any scripts or data that you put into this service are public.
