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cff-version: 1.2.0
message: 'To cite package "MDgof" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'MDgof: Various Methods for the Goodness-of-Fit Problem in D>1 Dimensions'
version: 1.0.1
doi: 10.32614/CRAN.package.MDgof
abstract: The routine gof_test() in this package runs the goodness-of-fit test using
  various test statistic for multivariate data. Models under the null hypothesis can
  either be simple or allow for parameter estimation. p values are found via the parametric
  bootstrap (simulation). The routine gof_test_adjusted_pvalues() runs several tests
  and then finds a p value adjusted for simultaneous inference. The routine gof_power()
  allows the estimation of the power of the tests. hybrid_test() and hybrid_power()
  do the same by first generating a Monte Carlo data set under the null hypothesis
  and then running a number of two-sample methods. The routine run.studies() allows
  a user to quickly study the power of a new method and how it compares to those included
  in the package via a large number of case studies. For details of the methods and
  references see the included vignettes.
authors:
- family-names: Rolke
  given-names: Wolfgang
  email: wolfgang.rolke@upr.edu
  orcid: https://orcid.org/0000-0002-3514-726X
repository: https://wolfgangrolke.r-universe.dev
commit: e47eef4f66f6e4cd6ffc55fb493b7ce772acbbb8
date-released: '2026-06-03'
contact:
- family-names: Rolke
  given-names: Wolfgang
  email: wolfgang.rolke@upr.edu
  orcid: https://orcid.org/0000-0002-3514-726X