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 |
| 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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