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alphaN  

Set Alpha Based on Sample Size Using Bayes Factors
View on CRAN: Click here


Download and install alphaN package within the R console
Install from CRAN:
install.packages("alphaN")

Install from Github:
library("remotes")
install_github("cran/alphaN")

Install by package version:
library("remotes")
install_version("alphaN", "0.1.0")



Attach the package and use:
library("alphaN")
Maintained by
Jesper Wulff
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-01-12
Latest Update: 2023-01-12
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 (2023) .
How to cite:
Jesper Wulff (2023). alphaN: Set Alpha Based on Sample Size Using Bayes Factors. R package version 0.1.0, https://cran.r-project.org/web/packages/alphaN. Accessed 06 Nov. 2024.
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Complete documentation for alphaN
Functions, R codes and Examples using the alphaN R package
Some associated functions: JAB . JAB_plot . JABp . JABt . alphaN . alphaN_plot . 
Some associated R codes: JAB.R . JAB_plot.R . JABp.R . JABt.R . alphaN.R . alphaN_plot.R . helper_functions.R .  Full alphaN package functions and examples
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