bain: Bayes Factors for Informative Hypotheses (original) (raw)
Computes approximated adjusted fractional Bayes factors for equality, inequality, and about equality constrained hypotheses. For a tutorial on this method, see Hoijtink, Mulder, van Lissa, & Gu, (2019) <doi:10.1037/met0000201>. For applications in structural equation modeling, see: Van Lissa, Gu, Mulder, Rosseel, Van Zundert, & Hoijtink, (2021) <doi:10.1080/10705511.2020.1745644>. For the statistical underpinnings, see Gu, Mulder, and Hoijtink (2018) <doi:10.1111/bmsp.12110>; Hoijtink, Gu, & Mulder, J. (2019) <doi:10.1111/bmsp.12145>; Hoijtink, Gu, Mulder, & Rosseel, (2019) <doi:10.31234/osf.io/q6h5w>.
| Version: | 0.2.11 |
|---|---|
| Depends: | R (≥ 3.0.0), stats |
| Imports: | lavaan |
| Suggests: | MASS, testthat, knitr, rmarkdown |
| Published: | 2024-06-12 |
| DOI: | 10.32614/CRAN.package.bain |
| Author: | Xin Gu [aut], Herbert Hoijtink [aut], Joris Mulder [aut], Caspar J van Lissa [aut, cre], Van Zundert Camiel [ctb], Jeff Jones [ctb], Niels Waller [ctb] |
| Maintainer: | Caspar J van Lissa <c.j.vanlissa at tilburguniversity.edu> |
| BugReports: | https://github.com/cjvanlissa/bain/ |
| License: | GPL (≥ 3) |
| URL: | https://informative-hypotheses.sites.uu.nl/software/bain/ |
| NeedsCompilation: | yes |
| Materials: | README |
| In views: | Bayesian |
| CRAN checks: | bain results |
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