| 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. |