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
Roxygen: list(markdown = TRUE)
Config/pak/sysreqs: libgsl0-dev
Repository: https://jthaman.r-universe.dev
Date/Publication: 2026-05-12 19:05:49 UTC
RemoteUrl: https://github.com/jthaman/energygof
RemoteRef: HEAD
RemoteSha: ad09eb190523ad2164079d3acfe872f7f1e28606
NeedsCompilation: no
Packaged: 2026-06-11 06:34:01 UTC; root
Author: John Haman [aut, cre]
Maintainer: John Haman <mail@johnhaman.org>