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cff-version: 1.2.0
message: 'To cite package "gofreg" in publications use:'
type: software
license: MIT
title: 'gofreg: Bootstrap-Based Goodness-of-Fit Tests for Parametric Regression'
version: 1.0.0
doi: 10.32614/CRAN.package.gofreg
abstract: Provides statistical methods to check if a parametric family of conditional
  density functions fits to some given dataset of covariates and response variables.
  Different test statistics can be used to determine the goodness-of-fit of the assumed
  model, see Andrews (1997) <https://doi.org/10.2307/2171880>, Bierens & Wang (2012)
  <https://doi.org/10.1017/S0266466611000168>, Dikta & Scheer (2021) <https://doi.org/10.1007/978-3-030-73480-0>
  and Kremling & Dikta (2024) <https://doi.org/10.48550/arXiv.2409.20262>. As proposed
  in these papers, the corresponding p-values are approximated using a parametric
  bootstrap method.
authors:
- family-names: Kremling
  given-names: Gitte
  email: gitte.kremling@web.de
  orcid: https://orcid.org/0000-0002-0753-1520
repository: https://gkremling.r-universe.dev
repository-code: https://github.com/gkremling/gofreg
commit: 3b0973c3f839dc91ffd2f344d2080eb070a910fc
url: https://gkremling.github.io/gofreg/
contact:
- family-names: Kremling
  given-names: Gitte
  email: gitte.kremling@web.de
  orcid: https://orcid.org/0000-0002-0753-1520