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).
Version: 0.4.2 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) Published: 2022-02-22 DOI: 10.32614/CRAN.package.bfw Author: Ãystein Olav Skaar [aut, cre] Maintainer: Ãystein Olav Skaar <bayesianfw at gmail.com> BugReports: https://github.com/oeysan/bfw/issues/ License: MIT + file LICENSE URL: https://github.com/oeysan/bfw/ NeedsCompilation: no SystemRequirements: JAGS >=4.3.0 <https://mcmc-jags.sourceforge.io>, Java JDK >=1.4 <https://www.java.com/en/download/manual.jsp> Materials: README NEWS CRAN checks: bfw results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=bfw to link to this page.
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