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 [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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