maxlinde/baymedr: Computation of Bayes Factors for Common Biomedical Designs

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]), making it possible to reanalyse findings (e.g., from publications) without the need to obtain the raw data.

Getting started

Package details

Maintainer
LicenseGPL-3
Version0.0.0.9000
URL https://github.com/maxlinde/baymedr
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("maxlinde/baymedr")
maxlinde/baymedr documentation built on Sept. 19, 2019, 5:05 a.m.