Package: bain
Type: Package
Date: 2019-02-08
Title: Bayes Factors for Informative Hypotheses
Version: 0.2.1
Authors@R: c(
    person(c("Xin"), "Gu", role = c("aut"), email = "guxin57@hotmail.com"),
    person(c("Herbert"), "Hoijtink", role = c("aut"), email = "h.hoijtink@uu.nl"),
    person(c("Joris"), "Mulder", role = c("aut"), email = "jomulder@gmail.com"),
    person(c("Caspar", "J"), "van Lissa", role = c("aut", "cre"), email = "c.j.vanlissa@uu.nl"),
    person(c("Jeff"), "Jones", role = "ctb"),
    person(c("Niels"), "Waller", role = "ctb"),
    person("The R Core Team", role = "cph")
    )
Description: 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>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
URL: https://informative-hypotheses.sites.uu.nl/software/bain/
NeedsCompilation: yes
RoxygenNote: 6.1.1
Depends: R (>= 3.0.0), stats
Suggests: MASS, testthat, knitr, rmarkdown
VignetteBuilder: knitr
Packaged: 2019-02-08 11:41:45 UTC; Lissa102
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@uu.nl>
Repository: CRAN
Date/Publication: 2019-02-08 12:13:51 UTC
