gofreg: Bootstrap-Based Goodness-of-Fit Tests for Parametric Regression

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 ORCID iD [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:

Reference manual: gofreg.pdf
Vignettes: Architecture (source, R code)
New-Models (source, R code)
New-TestStatistics (source, R code)
gofreg (source, R code)

Downloads:

Package source: gofreg_1.0.0.tar.gz
Windows binaries: r-devel: gofreg_1.0.0.zip, r-release: gofreg_1.0.0.zip, r-oldrel: gofreg_1.0.0.zip
macOS binaries: r-release (arm64): gofreg_1.0.0.tgz, r-oldrel (arm64): gofreg_1.0.0.tgz, r-release (x86_64): gofreg_1.0.0.tgz, r-oldrel (x86_64): gofreg_1.0.0.tgz

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