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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).
Getting started
Browse package contents
Package details |
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| Author | Øystein Olav Skaar [aut, cre] |
| Maintainer | Øystein Olav Skaar <bayesianfw@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.4.2 |
| URL | https://github.com/oeysan/bfw/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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