JAB_plot: Plots JAB as a function of the p-value

In alphaN: Set Alpha Based on Sample Size Using Bayes Factors

Plots JAB as a function of the p-value

Description

Plots JAB as a function of the p-value

Usage

JAB_plot(n, BF = 1, method = "JAB")

Arguments

n	Sample size
BF	Bayes factor you would like to match. 1 to avoid the Lindley Paradox, 3 to achieve moderate evidence and 10 to achieve strong evidence.
method	Used for the choice of 'b'. Currently one of: "JAB": this choice of b produces Jeffery's approximate BF "min": uses the minimal training sample for the prior (Gu et al., '17) "robust": a robust version of "min" that prevents too small b (O'Hagan, '95) "balanced": this choice of b balances the type I and type II errors

Value

Prints a plot.

Examples

# Plot JAB as function of the p-value for a sample size of 2000
JAB_plot(2000)

alphaN documentation built on Jan. 13, 2023, 1:14 a.m.