bain: Bayes Factors for Informative Hypotheses

Computes approximated adjusted fractional Bayes factors for equality, inequality, and about equality constrained hypotheses. S3 methods are available for specific types of lm() models, namely ANOVA, ANCOVA, and multiple regression, and for the t_test(). The statistical underpinnings are described in Hoijtink, Mulder, van Lissa, and Gu, (2018) <doi:10.31234/osf.io/v3shc>, Gu, Mulder, and Hoijtink, (2018) <doi:10.1111/bmsp.12110>, Hoijtink, Gu, and Mulder, (2018) <doi:10.1111/bmsp.12145>, and Hoijtink, Gu, Mulder, and Rosseel, (2018) <doi:10.1037/met0000187>.

Version: 0.2.1
Depends: R (≥ 3.0.0), stats
Suggests: MASS, testthat, knitr, rmarkdown
Published: 2019-02-08
Author: Xin Gu [aut], Herbert Hoijtink [aut], Joris Mulder [aut], Caspar J van Lissa [aut, cre], Jeff Jones [ctb], Niels Waller [ctb], The R Core Team [cph]
Maintainer: Caspar J van Lissa <c.j.vanlissa at uu.nl>
License: GPL (≥ 3)
URL: https://informative-hypotheses.sites.uu.nl/software/bain/
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: bain results

Downloads:

Reference manual: bain.pdf
Vignettes: Introduction to bain
Package source: bain_0.2.1.tar.gz
Windows binaries: r-devel: bain_0.2.1.zip, r-release: bain_0.2.1.zip, r-oldrel: bain_0.2.1.zip
OS X binaries: r-release: bain_0.2.1.tgz, r-oldrel: bain_0.2.1.tgz
Old sources: bain archive

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