DESCRIPTION

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