Bayesian Framework for Computational Modeling R package bfw version 0.4.2 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). Software 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) Øystein Olav Skaar <bayesianfw@gmail.com> Comprehensive R Archive Network (CRAN) Øystein Olav Skaar [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=bfw/LICENSE) 2022-02-22 application/tgz https://CRAN.R-project.org/package=bfw doi:10.32614/CRAN.package.bfw