baymedr: Computation of Bayes Factors for Common Biomedical Designs

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
Author: Maximilian Linde ORCID iD [aut, cre], Don van Ravenzwaaij ORCID iD [aut], Quentin F. Gronau ORCID iD [ctb]
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

Downloads:

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-release (x86_64): baymedr_0.1.1.tgz, r-oldrel: baymedr_0.1.1.tgz
Old sources: baymedr archive

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