Package: bfw
Version: 0.0.1
Date: 2018-06-15
Title: Bayesian Framework for Computational Modelling
Authors@R: person( "Øystein Olav","Skaar", email="bayesianfw@gmail.com", role=c("aut","cre"))
Maintainer: Øystein Olav Skaar <bayesianfw@gmail.com>
URL: https://github.com/oeysan/bfw/
BugReports: https://github.com/oeysan/bfw/issues/
Description: Derived from the work of Kruschke (2015, <ISBN:9780124058880>),
    the present package aim to provide a framework for conducting Bayesian
    analysis using Markov chain Monte Carlo (MCMC) sampling utilizing the
    Just Another Gibbs Sampler ('JAGS', Plummer, 2003, <http://mcmc-jags.sourceforge.net/>).
    The initial version include 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).
SystemRequirements: JAGS >=4.3.0 <http://mcmc-jags.sourceforge.net/>,
        Java JDK >=1.4 <https://www.java.com/en/download/manual.jsp>
Depends: R (>= 3.4.0),
Imports: plyr (>= 1.8.4), methods (>= 3.5.0), MASS (>= 7.3-47), pbapply
        (>= 1.3-4), ReporteRs (>= 0.8.9), coda (>= 0.19-1), psych (>=
        1.7.8), rJava (>= 0.9-9), runjags (>= 2.0.4-2), ggplot2 (>=
        2.2.1), scales (>= 0.5.0), truncnorm (>= 1.0-8), robust (>=
        0.4-18), lavaan (>= 0.6-1)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-06-15 10:05:57 UTC; Melkor
Author: Øystein Olav Skaar [aut, cre]
Repository: CRAN
Date/Publication: 2018-06-15 11:17:58 UTC
