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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.pdf |
Vignettes: |
Introduction to baymedr |
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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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