bfw: Bayesian Framework for Computational Modelling

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, <>). 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).

Version: 0.0.1
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)
Suggests: knitr, rmarkdown
Published: 2018-06-15
Author: Øystein Olav Skaar [aut, cre]
Maintainer: Øystein Olav Skaar <bayesianfw at>
License: MIT + file LICENSE
NeedsCompilation: no
SystemRequirements: JAGS >=4.3.0 <>, Java JDK >=1.4 <>
Materials: README NEWS
CRAN checks: bfw results


Reference manual: bfw.pdf
Vignettes: Fit Latent Data
Fit Observed Data
Predict Metric
Plot Data
Package source: bfw_0.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel: not available
OS X binaries: r-release: bfw_0.0.1.tgz, r-oldrel: not available


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