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
DOI:	10.32614/CRAN.package.baymedr
Author:	Maximilian Linde [aut, cre], Don van Ravenzwaaij [aut], Quentin F. Gronau [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

Documentation:

Reference manual:	baymedr.pdf
Vignettes:	Introduction to baymedr

Downloads:

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

Linking:

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