depvarBF: Compute a Bayes Factor for the comparison of dependent...
In m-Py/varBF: Bayes factors for the comparison of variances

Description Usage Arguments Details Value Author(s) Examples

View source: R/depvarBF.R

Compute a Bayes Factor for the comparison of dependent variances

1	depvarBF(x, y, rscale = "medium")

`x`	first continuous variable
`y`	second continuous variable, sorted in the same order as `x`
`rscale`	The prior width specifying the alternative hypothesis, passed to `correlationBF`

This function realizes a test of dependent variances by applying the Morgan-Pitman test that reduces to a test of the "nullity" of a correlation between the sum and difference of two continuous variables.

The Bayes factor quantifying the degree to which the alternative hypothesis is favored over the null hypothesis

Martin Papenberg martin.papenberg@hhu.de

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depvarBF(sleep$extra[sleep$group == 1], sleep$extra[sleep$group == 2])
depvarBF(iris$Sepal.Length, iris$Petal.Width)
depvarBF(iris$Sepal.Length, iris$Petal.Width, rscale = "ultrawide")