Bayesian Imprecise Dirichlet Prior

Bayesian Test for two samples based on the Imprecise Dirichlet Theory.

bayesian.imprecise(x, y, s = sqrt(2) - 1, c = 0.5, mc.samples = 10000)

Arguments

x	First vector of observations
y	Second vector of observations
s	Prior strength. Default sqrt(2) - 1
c	Probability needed of one algorithm outperforming the other. Default 0.5.
mc.samples	Number of Monte Carlo samples.

Value

List with posterior distribution and probability of exceeding c.