model-classes: S4 classes to represent different models
In maxlinde/baymedr: Computation of Bayes Factors for Common Biomedical Designs

model-classes

R Documentation

S4 classes to represent different models

Description

The S4 classes baymedrSuperiority, baymedrEquivalence, baymedrNonInferiority, baymedrCoxProportionalHazards, and baymedrCoxProportionalHazardsMulti represent models for the superiority (super_bf), equivalence (equiv_bf), non-inferiority (infer_bf), and Cox proportional hazards (coxph_bf) models, 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.
prior: The mean and standard deviation of the Normal prior in case of coxph_bf.