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) <doi:10.2307/2171880>, Bierens & Wang (2012) <doi:10.1017/S0266466611000168>, Dikta & Scheer (2021) <doi:10.1007/978-3-030-73480-0> and Kremling & Dikta (2024) <doi:10.48550/arXiv.2409.20262>. As proposed in these papers, the corresponding p-values are approximated using a parametric bootstrap method.
Version: 1.0.0 Imports: checkmate, dplyr, ggplot2, R6, survival Suggests: knitr, rmarkdown, testthat (≥ 3.0.0) Published: 2024-10-04 DOI: 10.32614/CRAN.package.gofreg Author: Gitte Kremling [aut, cre, cph] Maintainer: Gitte Kremling <gitte.kremling at web.de> BugReports: https://github.com/gkremling/gofreg/issues License: MIT + file LICENSE URL: https://github.com/gkremling/gofreg, https://gkremling.github.io/gofreg/ NeedsCompilation: no Materials: README, NEWS CRAN checks: gofreg results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=gofreg to link to this page.
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