Flexible Bayes Factor Testing of Scientific Expectations
c(person(given = c("Joris"),
family = "Mulder",
role = c("aut", "cre"),
email = "j.mulder3@tilburguniversity.edu"),
person(given = "Caspar",
family = "van Lissa",
role = c("aut", "ctb"),
email = "c.j.vanlissa@uu.nl"),
person(given = "Xin",
family = "Gu",
role = "aut",
email = "guxin57@hotmail.com"),
person(given = "Anton",
family = "Olsson-Collentine",
role = c("aut", "ctb"),
email = "J.A.E.OlssonCollentine@tilburguniversity.edu"),
person(given = "Florian",
family = "Boeing-Messing",
role = c("aut", "ctb"),
email = "F.Boeing-Messing@uvt.nl"),
person(given = "Jean-Paul",
family = "Fox",
role = c("aut", "ctb"),
email = "g.j.a.fox@utwente.nl"),
person(given = "Janosch",
family = "Menke",
role = c("ctb"),
email = "janosch.menke@uni-muenster.de"),
person(given = "Barry",
family = "Brown",
role = "ctb"),
person(given = "James",
family = "Lovato",
role = "ctb"),
person(given = "Kathy",
family = "Russell",
role = "ctb"),
person("Lapack 3.8",
role = "ctb"),
person(given = "Jack",
family = "Dongarra",
role = "ctb"),
person(given = "Jim",
family = "Bunch",
role = "ctb"),
person(given = "Cleve",
family = "Moler",
role = "ctb"),
person(given = "Gilbert",
family = "Stewart",
role = "ctb"),
person(given = "John",
family = "Burkandt",
role = "ctb"),
person(given = "Ashwith",
family = "Rego",
role = "ctb"),
person(given = "Alexander",
family = "Godunov",
role = "ctb"),
person(given = "Alan",
family = "Miller",
role = "ctb"),
person(given = "Jean-Pierre",
family = "Moreau",
role = "ctb"),
person("The R Core Team", role = "cph")
)
Implementation of various default Bayes factors
for testing statistical hypotheses. The package is
intended for applied quantitative researchers in the
social and behavioral sciences, medical research,
and related fields. The Bayes factor tests can be
executed for statistical models such as
univariate and multivariate normal linear models,
generalized linear models, special cases of
linear mixed models, survival models, relational
event models. Parameters that can be tested are
location parameters (e.g., regression coefficients),
variances (e.g., group variances), and measures of
association (e.g,. bivariate correlations).
The statistical underpinnings are
described in
Mulder, Hoijtink, and Xin (2019) <arXiv:1904.00679>,
Mulder and Gelissen (2019) <arXiv:1807.05819>,
Mulder (2016) <DOI:10.1016/j.jmp.2014.09.004>,
Mulder and Fox (2019) <DOI:10.1214/18-BA1115>,
Mulder and Fox (2013) <DOI:10.1007/s11222-011-9295-3>,
Boeing-Messing, van Assen, Hofman, Hoijtink, and Mulder <DOI:10.1037/met0000116>,
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>.
stats, MASS, MCMCpack, Matrix, mvtnorm, pracma, lme4
Joris Mulder [aut, cre],
Caspar van Lissa [aut, ctb],
Xin Gu [aut],
Anton Olsson-Collentine [aut, ctb],
Florian Boeing-Messing [aut, ctb],
Jean-Paul Fox [aut, ctb],
Janosch Menke [ctb],
Barry Brown [ctb],
James Lovato [ctb],
Kathy Russell [ctb],
Lapack 3.8 [ctb],
Jack Dongarra [ctb],
Jim Bunch [ctb],
Cleve Moler [ctb],
Gilbert Stewart [ctb],
John Burkandt [ctb],
Ashwith Rego [ctb],
Alexander Godunov [ctb],
Alan Miller [ctb],
Jean-Pierre Moreau [ctb],
The R Core Team [cph]