Package: energyGOF
Title: Goodness-of-Fit Tests for Univariate Data via Energy
Version: 0.1
Authors@R: person("John", "Haman", email = "mail@johnhaman.org", role = c("aut", "cre"))
Description: Conduct one- and two-sample goodness-of-fit tests for univariate data. In the one-sample case, normal, uniform, exponential, Bernoulli, binomial, geometric, beta, Poisson, lognormal, Laplace, asymmetric Laplace, inverse Gaussian, half-normal, chi-squared, gamma, F, Weibull, Cauchy, and Pareto distributions are supported. egof.test() can also test goodness-of-fit to any distribution with a continuous distribution function. A subset of the available distributions can be tested for the composite goodness-of-fit hypothesis, that is, one can test for distribution fit with unknown parameters. P-values are calculated via parametric bootstrap.
License: GPL (>= 3)
Encoding: UTF-8
Imports: energy, gsl, boot, fitdistrplus, statmod
URL: https://github.com/jthaman/energyGOF
RoxygenNote: 7.3.3
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2025-11-25 19:44:35 UTC; john
Author: John Haman [aut, cre]
Maintainer: John Haman <mail@johnhaman.org>
Repository: CRAN
Date/Publication: 2025-12-01 14:40:15 UTC
Built: R 4.6.0; ; 2026-04-27 16:32:58 UTC; unix
