Package: alphaN 0.1.0

Jesper Wulff

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>.

Authors:Jesper Wulff [aut, cre], Luke Taylor [aut]

alphaN_0.1.0.tar.gz
alphaN_0.1.0.zip(r-4.5)alphaN_0.1.0.zip(r-4.4)alphaN_0.1.0.zip(r-4.3)
alphaN_0.1.0.tgz(r-4.4-any)alphaN_0.1.0.tgz(r-4.3-any)
alphaN_0.1.0.tar.gz(r-4.5-noble)alphaN_0.1.0.tar.gz(r-4.4-noble)
alphaN_0.1.0.tgz(r-4.4-emscripten)alphaN_0.1.0.tgz(r-4.3-emscripten)
alphaN.pdf |alphaN.html
alphaN/json (API)
NEWS

# Install 'alphaN' in R:
install.packages('alphaN', repos = c('https://jespernwulff.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/jespernwulff/alphan/issues

On CRAN:

5.08 score 8 stars 4 scripts 181 downloads 6 exports 0 dependencies

Last updated 7 days agofrom:f55ff61819. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.5-winOKOct 30 2024
R-4.5-linuxOKOct 30 2024
R-4.4-winOKOct 30 2024
R-4.4-macOKOct 30 2024
R-4.3-winOKOct 30 2024
R-4.3-macOKOct 30 2024

Exports:alphaNalphaN_plotJABJAB_plotJABpJABt

Dependencies:

Intro to alphaN

Rendered fromintro-alphaN.Rmdusingknitr::rmarkdownon Oct 30 2024.

Last update: 2023-01-17
Started: 2023-01-03