relevance: Calculate Relevance and Significance Measures

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

Documentation:

Reference manual:	relevance.html , relevance.pdf
Vignettes:	'Calculate Relevance and Significance Measures' (source, R code)

Downloads:

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 dependencies:

Reverse enhances:

sfsmisc

Linking:

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