BAYesian inference for MEDical designs in R. Functions for the computation of Bayes factors for common biomedical research designs. Implemented are functions to test the equivalence (equiv_bf), non-inferiority (infer_bf), and superiority (super_bf) of an experimental group compared to a control group on a continuous outcome measure, as well as functions for simulating survival data and calculating a Bayes factor for Cox proportional hazards models. Bayes factors for these tests can be computed based on raw data or summary statistics.
Package details |
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Maintainer | |
License | GPL-3 |
Version | 0.1.1.9000 |
URL | https://github.com/maxlinde/baymedr |
Package repository | View on GitHub |
Installation |
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