BAYesian inference for MEDical designs in R. Convenience 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. 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]), making it possible to reanalyse findings (e.g., from publications) without the need to obtain the raw data.
|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 <[email protected]>|
|Package repository||View on CRAN|
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