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 |
Please use the canonical formhttps://CRAN.R-project.org/package=baymedrto link to this page.