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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. Bayes factors for these three tests can be computed based on raw data (x, y) or summary statistics (n_x, n_y, mean_x, mean_y, sd_x, sd_y [or ci_margin and ci_level]).
Getting started
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Package details |
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| Author | Maximilian Linde [aut, cre] (<https://orcid.org/0000-0001-8421-090X>), Don van Ravenzwaaij [aut] (<https://orcid.org/0000-0002-5030-4091>), Quentin F. Gronau [ctb] (<https://orcid.org/0000-0001-5510-6943>) |
| Maintainer | Maximilian Linde <maximilian.linde.92@gmail.com> |
| License | GPL-3 |
| Version | 0.1.1 |
| URL | https://github.com/maxlinde/baymedr |
| Package repository | View on CRAN |
| Installation |
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