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 (2023) <doi:10.31234/>.

Version: 0.1.0
Suggests: knitr, rmarkdown, spelling, testthat (≥ 3.0.0)
Published: 2023-01-12
DOI: 10.32614/CRAN.package.alphaN
Author: Jesper Wulff ORCID iD [aut, cre], Luke Taylor [aut]
Maintainer: Jesper Wulff <jwulff at>
License: MIT + file LICENSE
NeedsCompilation: no
Language: en-US
Citation: alphaN citation info
Materials: README NEWS
CRAN checks: alphaN results


Reference manual: alphaN.pdf
Vignettes: Intro to alphaN


Package source: alphaN_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): alphaN_0.1.0.tgz, r-oldrel (arm64): alphaN_0.1.0.tgz, r-release (x86_64): alphaN_0.1.0.tgz, r-oldrel (x86_64): alphaN_0.1.0.tgz


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