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baymedr: Computation of Bayes Factors for Common Biomedical Designs
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.
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Package details |
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| Author | Maximilian Linde [aut, cre] (ORCID: <https://orcid.org/0000-0001-8421-090X>), Don van Ravenzwaaij [aut] (ORCID: <https://orcid.org/0000-0002-5030-4091>), Jorge N. Tendeiro [aut] (ORCID: <https://orcid.org/0000-0003-1660-3642>), Quentin F. Gronau [ctb] (ORCID: <https://orcid.org/0000-0001-5510-6943>) |
| Maintainer | Maximilian Linde <maximilian.linde.92@gmail.com> |
| License | GPL-3 |
| Version | 0.2 |
| URL | https://github.com/maxlinde/baymedr |
| Package repository | View on CRAN |
| Installation |
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