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DESCRIPTION
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DESCRIPTION
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Package: BFpack
Type: Package
Title: Flexible Bayes Factor Testing of Scientific Expectations
Version: 1.4.0
Authors@R:
c(person(given = c("Joris"),
family = "Mulder",
role = c("aut", "cre"),
email = "[email protected]"),
person(given = "Caspar",
family = "van Lissa",
role = c("aut", "ctb"),
email = "[email protected]"),
person(given = "Donald R.",
family = "Williams",
role = c("aut", "ctb"),
email = "[email protected]"),
person(given = "Xin",
family = "Gu",
role = c("aut", "ctb"),
email = "[email protected]"),
person(given = "Anton",
family = "Olsson-Collentine",
role = c("aut", "ctb"),
email = "[email protected]"),
person(given = "Florian",
family = "Boeing-Messing",
role = c("aut", "ctb"),
email = "[email protected]"),
person(given = "Jean-Paul",
family = "Fox",
role = c("aut", "ctb"),
email = "[email protected]"),
person(given = "Janosch",
family = "Menke",
role = c("ctb"),
email = "[email protected]"),
person(given = "Robbie",
family = "van Aert",
role = c("ctb"),
email = "[email protected]"),
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")
)
Maintainer: Joris Mulder <[email protected]>
Description: Implementation of default Bayes factors
for testing statistical hypotheses under various statistical models. 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,
correlation analysis, generalized linear models, special cases of
linear mixed models, survival models, relational
event models. Parameters that can be tested are
location parameters (e.g., group means, regression coefficients),
variances (e.g., group variances), and measures of
association (e.g,. polychoric/polyserial/biserial/tetrachoric/product
moments correlations), among others.
The statistical underpinnings are
described in
Mulder and Xin (2022) <DOI:10.1080/00273171.2021.1904809>,
Mulder and Gelissen (2019) <DOI:10.1080/02664763.2021.1992360>,
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 (2017) <DOI:10.1037/met0000116>,
Hoijtink, Mulder, van Lissa, and Gu (2018) <DOI:10.1037/met0000201>,
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>. When using the
packages, please refer to Mulder et al. (2021) <DOI:10.18637/jss.v100.i18>.
License: GPL (>= 3)
URL: https://github.com/jomulder/BFpack
BugReports: https://github.com/jomulder/BFpack/issues
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
RoxygenNote: 7.3.2
Depends:
R (>= 3.0.0),
bain
Imports:
stats,
utils,
MASS,
mvtnorm,
pracma,
lme4,
extraDistr,
ergm,
Bergm,
sandwich,
QRM,
coda,
metaBMA,
methods
Suggests:
testthat,
polycor,
survival,
pscl,
metafor,
knitr,
rmarkdown,
lmtest
VignetteBuilder:
knitr