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.
Package details |
|
---|---|
Maintainer | |
License | GPL-3 |
Version | 0.1.0 |
URL | https://github.com/maxlinde/baymedr |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.