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]).
| Version: | 0.1.1 | 
| Depends: | R (≥ 3.2.0) | 
| Imports: | methods, rlang, stats, stringr | 
| Suggests: | knitr, rmarkdown, testthat | 
| Published: | 2021-03-28 | 
| DOI: | 10.32614/CRAN.package.baymedr | 
| Author: | Maximilian Linde | 
| Maintainer: | Maximilian Linde <maximilian.linde.92 at gmail.com> | 
| BugReports: | https://github.com/maxlinde/baymedr/issues | 
| License: | GPL-3 | 
| URL: | https://github.com/maxlinde/baymedr | 
| NeedsCompilation: | no | 
| Language: | en-US | 
| Materials: | README, NEWS | 
| CRAN checks: | baymedr results | 
| Reference manual: | baymedr.html , baymedr.pdf | 
| Vignettes: | Introduction to baymedr (source, R code) | 
| Package source: | baymedr_0.1.1.tar.gz | 
| Windows binaries: | r-devel: baymedr_0.1.1.zip, r-release: baymedr_0.1.1.zip, r-oldrel: baymedr_0.1.1.zip | 
| macOS binaries: | r-release (arm64): baymedr_0.1.1.tgz, r-oldrel (arm64): baymedr_0.1.1.tgz, r-release (x86_64): baymedr_0.1.1.tgz, r-oldrel (x86_64): baymedr_0.1.1.tgz | 
| Old sources: | baymedr archive | 
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