bfw: Bayesian Framework for Computational Modeling

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:	Øystein Olav Skaar [aut, cre]
Maintainer:	Øystein 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:

Reference manual:	bfw.pdf
Vignettes:	Fit Latent Data Fit Observed Data Predict Metric Plot Data Regression

Downloads:

Package source:	bfw_0.4.2.tar.gz
Windows binaries:	r-devel: bfw_0.4.2.zip, r-release: bfw_0.4.2.zip, r-oldrel: bfw_0.4.2.zip
macOS binaries:	r-release (arm64): bfw_0.4.2.tgz, r-oldrel (arm64): bfw_0.4.2.tgz, r-release (x86_64): bfw_0.4.2.tgz, r-oldrel (x86_64): bfw_0.4.2.tgz
Old sources:	bfw archive

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