Package: alphaN
Title: Set Alpha Based on Sample Size Using Bayes Factors
Version: 0.3.0
Authors@R: c(
    person("Jesper", "Wulff", , "jwulff@econ.au.dk", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-7976-0939")),
    person("Luke", "Taylor", , "lntaylor@econ.au.dk", role = "aut")
  )
Description: 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>. Alpha can
        also be calibrated to the effect-size and moment Bayes factors
        of Klauer, Meyer-Grant, and Kellen (2025)
        <doi:10.3758/s13423-024-02612-2>, which center the alternative
        hypothesis on an effect size of your choosing.
License: MIT + file LICENSE
URL: https://github.com/jespernwulff/alphaN,
        https://jespernwulff.github.io/alphaN/
BugReports: https://github.com/jespernwulff/alphaN/issues
Depends: R (>= 4.0)
Suggests: BayesFactor, JustifyAlpha, knitr, pwrss, rmarkdown, spelling,
        testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
Encoding: UTF-8
Language: en-US
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Repository: https://jespernwulff.r-universe.dev
Date/Publication: 2026-07-27 15:54:09 UTC
RemoteUrl: https://github.com/jespernwulff/alphan
RemoteRef: HEAD
RemoteSha: b9d449692d92c670103ec0c660bc268a71c9a56f
NeedsCompilation: no
Packaged: 2026-10-12 13:16:23 UTC; root
Author: Jesper Wulff [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-7976-0939>),
  Luke Taylor [aut]
Maintainer: Jesper Wulff <jwulff@econ.au.dk>