bootGOF: Bootstrap Based Goodness-of-Fit Tests

Bootstrap based goodness-of-fit tests. It allows to perform rigorous statistical tests to check if a chosen model family is correct based on the marked empirical process. The implemented algorithms are described in (Dikta and Scheer (2021) <doi:10.1007/978-3-030-73480-0>) and can be applied to generalized linear models without any further implementation effort. As far as certain linearity conditions are fulfilled the resampling scheme are also applicable beyond generalized linear models. This is reflected in the software architecture which allows to reuse the resampling scheme by implementing only certain interfaces for models that are not supported natively by the package.

Version: 0.1.0
Imports: checkmate (≥ 2.0.0), R6 (≥ 2.4.1)
Suggests: testthat, covr, roxygen2, pkgdown, devtools, tinytest, mockery, knitr, rmarkdown, minpack.lm, MASS
Published: 2021-06-24
Author: Marsel Scheer [aut, cre], Gerhard Dikta [aut]
Maintainer: Marsel Scheer <scheer at freescience.de>
BugReports: https://github.com/MarselScheer/bootGOF/issues
License: GPL-3
URL: https://github.com/MarselScheer/bootGOF
NeedsCompilation: no
Materials: README
CRAN checks: bootGOF results

Downloads:

Reference manual: bootGOF.pdf
Vignettes: Architecture
New-Models
Package source: bootGOF_0.1.0.tar.gz
Windows binaries: r-devel: bootGOF_0.1.0.zip, r-release: bootGOF_0.1.0.zip, r-oldrel: bootGOF_0.1.0.zip
macOS binaries: r-release (arm64): bootGOF_0.1.0.tgz, r-release (x86_64): bootGOF_0.1.0.tgz, r-oldrel: bootGOF_0.1.0.tgz

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