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.
| Version: |
0.2 |
| Depends: |
R (≥ 3.4.0) |
| Imports: |
doParallel, foreach, methods, parallel, pso, rms, stats, stringr, survival |
| Suggests: |
knitr, rmarkdown, testthat |
| Published: |
2026-05-11 |
| DOI: |
10.32614/CRAN.package.baymedr |
| Author: |
Maximilian Linde 
[aut, cre],
Don van Ravenzwaaij
[aut],
Jorge N. Tendeiro
[aut],
Quentin F. Gronau
[ctb] |
| Maintainer: |
Maximilian Linde <maximilian.linde.92 at gmail.com> |
| BugReports: |
https://github.com/maxlinde/baymedr/issues |
| License: |
GPL-3 |
| URL: |
https://github.com/maxlinde/baymedr |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Materials: |
README, NEWS |
| CRAN checks: |
baymedr results |
Documentation:
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