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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "energyGOF" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'energyGOF: Goodness-of-Fit Tests for Univariate Data via Energy'
version: '0.1'
doi: 10.32614/CRAN.package.energyGOF
abstract: 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.
authors:
- family-names: Haman
  given-names: John
  email: mail@johnhaman.org
repository: https://jthaman.r-universe.dev
repository-code: https://github.com/jthaman/energyGOF
commit: ad09eb190523ad2164079d3acfe872f7f1e28606
url: https://github.com/jthaman/energyGOF
date-released: '2026-05-12'
contact:
- family-names: Haman
  given-names: John
  email: mail@johnhaman.org