Package: bfw
Title: Bayesian Framework for Computational Modeling
Version: 0.4.2
Date: 2022-02-22
Authors@R: person( "Øystein Olav","Skaar", email="bayesianfw@gmail.com", role=c("aut","cre"))
Maintainer: Øystein Olav Skaar <bayesianfw@gmail.com>
Description: Derived from the work of Kruschke (2015,
    <ISBN:9780124058880>), the present package aims to provide a framework
    for conducting Bayesian analysis using Markov chain Monte Carlo (MCMC)
    sampling utilizing the Just Another Gibbs Sampler ('JAGS', Plummer,
    2003, <https://mcmc-jags.sourceforge.io>).  The initial version
    includes several modules for conducting Bayesian equivalents of
    chi-squared tests, analysis of variance (ANOVA), multiple
    (hierarchical) regression, softmax regression, and for fitting data
    (e.g., structural equation modeling).
License: MIT + file LICENSE
URL: https://github.com/oeysan/bfw/
BugReports: https://github.com/oeysan/bfw/issues/
Depends: R (>= 3.5.0)
Imports: circlize (>= 0.4.4), coda (>= 0.19-1), data.table (>= 1.12.2),
        dplyr (>= 0.7.7), ggplot2 (>= 2.2.1), graphics, grDevices,
        grid, magrittr (>= 1.5), MASS (>= 7.3-47), officer (>= 0.3.1),
        parallel, plyr (>= 1.8.4), png (>= 0.1-7), runjags (>=
        2.0.4-2), rvg (>= 0.1.9), scales (>= 0.5.0), stats, utils
Suggests: testthat (>= 3.0.0), knitr (>= 1.20), lavaan (>= 0.6-1),
        psych (>= 1.7.8), rmarkdown (>= 1.10)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
RoxygenNote: 7.1.2
SystemRequirements: JAGS >=4.3.0 <https://mcmc-jags.sourceforge.io>,
        Java JDK >=1.4 <https://www.java.com/en/download/manual.jsp>
Config/testthat/edition: 3
Packaged: 2022-02-22 11:26:47 UTC; oeysan
Author: Øystein Olav Skaar [aut, cre]
Repository: CRAN
Date/Publication: 2022-02-22 14:20:02 UTC
Built: R 4.6.0; ; 2026-04-25 21:49:33 UTC; unix
