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).
| 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 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 <http://mcmc-jags.sourceforge.net/>, Java JDK >=1.4 <https://www.java.com/en/download/manual.jsp> |
| Materials: | README NEWS |
| CRAN checks: | bfw results |
| Reference manual: | bfw.pdf |
| Vignettes: |
Fit Latent Data Fit Observed Data Predict Metric Plot Data Regression |
| Package source: | bfw_0.0.1.tar.gz |
| Windows binaries: | r-devel: bfw_0.0.1.zip, r-release: bfw_0.0.1.zip, r-oldrel: not available |
| OS X binaries: | r-release: bfw_0.0.1.tgz, r-oldrel: not available |
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