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