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.
| Version: | 0.1 |
| Imports: | energy, gsl, boot, fitdistrplus, statmod |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2025-12-01 |
| DOI: | 10.32614/CRAN.package.energyGOF |
| Author: | John Haman [aut, cre] |
| Maintainer: | John Haman <mail at johnhaman.org> |
| License: | GPL (≥ 3) |
| URL: | https://github.com/jthaman/energyGOF |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | energyGOF results |
| Reference manual: | energyGOF.html , energyGOF.pdf |
| Package source: | energyGOF_0.1.tar.gz |
| Windows binaries: | r-devel: energyGOF_0.1.zip, r-release: energyGOF_0.1.zip, r-oldrel: energyGOF_0.1.zip |
| macOS binaries: | r-release (arm64): energyGOF_0.1.tgz, r-oldrel (arm64): energyGOF_0.1.tgz, r-release (x86_64): energyGOF_0.1.tgz, r-oldrel (x86_64): energyGOF_0.1.tgz |
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