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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0-1 |
rolling linux/jammy R-4.5 | vsgoftest_1.0-1.tar.gz |
215.1 KiB |
1.0-1 |
rolling linux/noble R-4.5 | vsgoftest_1.0-1.tar.gz |
215.9 KiB |
1.0-1 |
rolling source/ R- | vsgoftest_1.0-1.tar.gz |
153.9 KiB |
1.0-1 |
latest linux/jammy R-4.5 | vsgoftest_1.0-1.tar.gz |
215.1 KiB |
1.0-1 |
latest linux/noble R-4.5 | vsgoftest_1.0-1.tar.gz |
215.9 KiB |
1.0-1 |
latest source/ R- | vsgoftest_1.0-1.tar.gz |
153.9 KiB |
1.0-1 |
2026-04-26 source/ R- | vsgoftest_1.0-1.tar.gz |
153.9 KiB |
1.0-1 |
2026-04-23 source/ R- | vsgoftest_1.0-1.tar.gz |
153.9 KiB |
1.0-1 |
2026-04-09 windows/windows R-4.5 | vsgoftest_1.0-1.zip |
537.9 KiB |
1.0-1 |
2025-04-20 source/ R- | vsgoftest_1.0-1.tar.gz |
153.9 KiB |