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Plots JAB as a function of the p-value

Source: R/JAB_plot.R
JAB_plot.Rd

Plots JAB as a function of the p-value

Usage

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

Arguments

n

Sample size. A positive numeric vector.

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 Jeffreys' approximate BF (Wagenmakers, 2022)

  • "min": uses the minimal training sample for the prior (Gu et al., 2018)

  • "robust": a robust version of "min" that prevents too small b (O'Hagan, 1995)

  • "balanced": this choice of b balances the type I and type II errors (Gu et al., 2016)

upper

The upper limit for the range of realistic effect sizes. Only relevant when method="balanced". Defaults to 1 such that the range of realistic effect sizes is uniformly distributed between 0 and 1, U(0,1).

Value

Prints a plot.

Examples

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