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) 
  <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.
License: MIT + file LICENSE
Encoding: UTF-8
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
NeedsCompilation: no
Packaged: 2024-10-04 09:05:04 UTC; gitte
Author: Gitte Kremling [aut, cre, cph]
    (<https://orcid.org/0000-0002-0753-1520>)
Maintainer: Gitte Kremling <gitte.kremling@web.de>
Repository: CRAN
Date/Publication: 2024-10-04 10:20:17 UTC
Built: R 4.6.0; ; 2026-04-29 03:22:53 UTC; unix
