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]).


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install.packages("baymedr")

0.1.1 by Maximilian Linde, 18 days ago


https://github.com/maxlinde/baymedr


Report a bug at https://github.com/maxlinde/baymedr/issues


Browse source code at https://github.com/cran/baymedr


Authors: Maximilian Linde [aut, cre] , Don van Ravenzwaaij [aut] , Quentin F. Gronau [ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports methods, rlang, stats, stringr

Suggests knitr, rmarkdown, testthat


See at CRAN