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 |
| Maintainer: | Gitte Kremling <gitte.kremling at web.de> |
| BugReports: | https://github.com/gkremling/gofreg/issues |
| License: | MIT + fileLICENSE |
| URL: | https://github.com/gkremling/gofreg,https://gkremling.github.io/gofreg/ |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | gofreg results |
| Reference manual: | gofreg.html ,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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