model-classes {baymedr}

S4 classes to represent different models

Description

The S4 classes baymedrSuperiority, baymedrEquivalence, and baymedrNonInferiority represent models for the superiority (super_bf), equivalence (equiv_bf), and non-inferiority (infer_bf) tests, respectively.

Slots

test

Type of test that was conducted.

hypotheses

The hypotheses that are tested.

data

The type of data that was used.

prior_scale

The Cauchy prior scale that was used.

bf

The resulting Bayes factor.

interval

The equivalence interval in case of equiv_bf.

ni_margin

The non-inferiority margin in case of infer_bf.