JABt {alphaN}

Transforms a t-statistic into Jeffreys' approximate Bayes factor

Description

Transforms a t-statistic into Jeffreys' approximate Bayes factor

Usage

JABt(n, t, method = "JAB", upper = 1)

Arguments

n

Sample size.

t

The t-statistic.

method

Used for the choice of 'b'. Currently one of:

• "JAB": this choice of b produces Jeffery's 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

A numeric value for the BF in favour of H1.

Examples

# Transform a t-statistic of 2.695 computed based on a sample size of 200 into JAB
JABt(200, 2.695)