JAB_plot {alphaN}

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)