model-classes: S4 classes to represent different models
In baymedr: Computation of Bayes Factors for Common Biomedical Designs
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
testType of test that was conducted.
hypothesesThe hypotheses that are tested.
dataThe type of data that was used.
prior_scaleThe Cauchy prior scale that was used.
bfThe resulting Bayes factor.
intervalThe equivalence interval in case of equiv_bf.
ni_marginThe non-inferiority margin in case of infer_bf.
baymedr documentation built on March 28, 2021, 9:08 a.m.
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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
testType of test that was conducted.
hypothesesThe hypotheses that are tested.
dataThe type of data that was used.
prior_scaleThe Cauchy prior scale that was used.
bfThe resulting Bayes factor.
intervalThe equivalence interval in case of
equiv_bf.ni_marginThe non-inferiority margin in case of
infer_bf.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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