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/osf.io/3cbh7>.

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 [aut, cre], Luke Taylor [aut]
Maintainer:	Jesper Wulff <jwulff at econ.au.dk>
BugReports:	https://github.com/jespernwulff/alphaN/issues
License:	MIT + file LICENSE
URL:	https://github.com/jespernwulff/alphaN
NeedsCompilation:	no
Language:	en-US
Citation:	alphaN citation info
Materials:	README NEWS
CRAN checks:	alphaN results

Documentation:

Reference manual:	alphaN.pdf
Vignettes:	Intro to alphaN

Downloads:

Package source:	alphaN_0.1.0.tar.gz
Windows binaries:	r-devel: alphaN_0.1.0.zip, r-release: alphaN_0.1.0.zip, r-oldrel: alphaN_0.1.0.zip
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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