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alphaN: Set Alpha Based on Sample Size Using Bayes Factors

Sets the alpha level for coefficients in a regression model as a decreasing function of the sample size through the use of Jeffreys' Approximate Bayes factor. You tell alphaN() your sample size, and it tells you to which value you must lower alpha to avoid Lindley's Paradox. For details, see Wulff and Taylor (2024) <doi:10.1177/14761270231214429>.

Version:0.1.2
Suggests:knitr,rmarkdown,spelling,testthat (≥ 3.0.0)
Published:2025-07-13
DOI:10.32614/CRAN.package.alphaN
Author:Jesper WulffORCID iD [aut, cre], Luke Taylor [aut]
Maintainer:Jesper Wulff <jwulff at econ.au.dk>
BugReports:https://github.com/jespernwulff/alphaN/issues
License:MIT + fileLICENSE
URL:https://github.com/jespernwulff/alphaN
NeedsCompilation:no
Language:en-US
Materials:README,NEWS
CRAN checks:alphaN results

Documentation:

Reference manual:alphaN.html ,alphaN.pdf
Vignettes:Intro to alphaN (source,R code)

Downloads:

Package source: alphaN_0.1.2.tar.gz
Windows binaries: r-devel:alphaN_0.1.2.zip, r-release:alphaN_0.1.2.zip, r-oldrel:alphaN_0.1.2.zip
macOS binaries: r-release (arm64):alphaN_0.1.2.tgz, r-oldrel (arm64):alphaN_0.1.2.tgz, r-release (x86_64):alphaN_0.1.2.tgz, r-oldrel (x86_64):alphaN_0.1.2.tgz
Old sources: alphaN archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=alphaNto link to this page.


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