Title: Flexible Bayes Factor Testing of Scientific Expectations
Description: 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
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
Mulder, Hoijtink, and Xin (2019) <arXiv:1904.00679>,
Mulder and Gelissen (2019) <arXiv:1807.05819>,
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>,
Hoijtink, Gu, and Mulder, (2018) <DOI:10.1111/bmsp.12145>, and
Hoijtink, Gu, Mulder, and Rosseel, (2018) <DOI:10.1037/met0000187>.
Imports: stats, MASS, MCMCpack, Matrix, mvtnorm, pracma, lme4
Suggests: testthat, polycor, survival, pscl
Packaged: 2019-10-28 15:59:13 UTC; jorismulder

Imports: stats, MASS, Matrix, mvtnorm, pracma, lme4
Packaged: 2020-02-19 15:13:57 UTC; jorismulder

Packaged: 2020-05-11 16:04:12 UTC; jorismulder

Imports: stats, MASS, Matrix, mvtnorm, pracma, lme4, extraDistr
Suggests: testthat, polycor, survival, pscl, metafor, knitr, rmarkdown
Packaged: 2020-11-30 12:31:12 UTC; jorismulder

location parameters (e.g., group means, regression coefficients),
association (e.g,. bivariate correlations), among others.
Packaged: 2021-02-01 20:05:26 UTC; jorismulder

Boeing-Messing, van Assen, Hofman, Hoijtink, and Mulder (2017) <DOI:10.1037/met0000116>,
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>.
Suggests: testthat, polycor, survival, pscl, metafor, knitr, rmarkdown,
Packaged: 2021-11-26 09:33:24 UTC; jorismulder

Title: A Suite of Packages for Analysis of Big Genomic Data
Description: An umbrella package providing a phenotype/genotype data structure
and scalable and efficient computational methods for large genomic datasets
in combination with several other packages: 'BEDMatrix', 'LinkedMatrix',
person("Gustavo", "de los Campos", email = "gustavoc@msu.edu", role = c("aut")),
person("Paulino", "Perez", email = "perpdgo@gmail.com", role = c("ctb")),
person("Ana", "Vazquez", email = "avazquez@epi.msu.edu", role = c("ctb")))
Depends: R (>= 3.0.0), BEDMatrix, LinkedMatrix, symDMatrix
Imports: methods, parallel, bigmemory, ff, bit
Suggests: data.table, lme4, SKAT, testthat
Packaged: 2017-05-11 09:08:21 UTC; agrueneberg