Computation of Bayes Factors for Common Biomedical Designs R package baymedr version 0.2 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. Software Depends: R (>= 3.4.0) Imports: doParallel, foreach, methods, parallel, pso, rms, stats, stringr, survival Suggests: knitr, rmarkdown, testthat Maximilian Linde <maximilian.linde.92@gmail.com> Comprehensive R Archive Network (CRAN) 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>) GPL-3 2026-05-11 application/tgz https://CRAN.R-project.org/package=baymedr doi:10.32614/CRAN.package.baymedr en-US