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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.
| Citation | alphaN citation info |
| github.com/jespernwulff/alphaN | |
| Bug report | File report |
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