Package: gofreg Title: Bootstrap-Based Goodness-of-Fit Tests for Parametric Regression Version: 1.0.0 Authors@R: person("Gitte", "Kremling", email = "gitte.kremling@web.de", role = c("aut", "cre", "cph"), comment = c(ORCID = "0000-0002-0753-1520") ) Description: 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) , Bierens & Wang (2012) , Dikta & Scheer (2021) and Kremling & Dikta (2024) . As proposed in these papers, the corresponding p-values are approximated using a parametric bootstrap method. License: MIT + file LICENSE Encoding: UTF-8 Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.1 Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Config/testthat/edition: 3 Imports: checkmate, dplyr, ggplot2, R6, survival URL: https://github.com/gkremling/gofreg, https://gkremling.github.io/gofreg/ BugReports: https://github.com/gkremling/gofreg/issues VignetteBuilder: knitr Repository: https://gkremling.r-universe.dev Date/Publication: 2025-08-04 19:03:42 UTC RemoteUrl: https://github.com/gkremling/gofreg RemoteRef: HEAD RemoteSha: bab42b38195d0a11ea1f919deb425e1bb13225e3 NeedsCompilation: no Packaged: 2026-09-30 07:47:54 UTC; root Author: Gitte Kremling [aut, cre, cph] (ORCID: ) Maintainer: Gitte Kremling