Calculates relevance and significance values for simple models and for many types of regression models. These are introduced in 'Stahel, Werner A.' (2021) "Measuring Significance and Relevance instead of p-values." <https://stat.ethz.ch/~stahel/relevance/stahel-relevance2103.pdf>. These notions are also applied to replication studies, as described in the manuscript 'Stahel, Werner A.' (2022) "'Replicability': Terminology, Measuring Success, and Strategy" available in the documentation.
Version: | 2.1 |
Depends: | R (≥ 3.5.0) |
Imports: | stats, utils, graphics |
Suggests: | MASS, survival, knitr |
Published: | 2024-01-25 |
DOI: | 10.32614/CRAN.package.relevance |
Author: | Werner A. Stahel |
Maintainer: | Werner A. Stahel <stahel at stat.math.ethz.ch> |
License: | GPL-2 |
NeedsCompilation: | no |
CRAN checks: | relevance results |
Reference manual: | relevance.pdf |
Vignettes: |
'Calculate Relevance and Significance Measures' |
Package source: | relevance_2.1.tar.gz |
Windows binaries: | r-devel: relevance_2.1.zip, r-release: relevance_2.1.zip, r-oldrel: relevance_2.1.zip |
macOS binaries: | r-release (arm64): relevance_2.1.tgz, r-oldrel (arm64): relevance_2.1.tgz, r-release (x86_64): relevance_2.1.tgz, r-oldrel (x86_64): relevance_2.1.tgz |
Old sources: | relevance archive |
Reverse enhances: | sfsmisc |
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