bfw
0.4.2Bayesian Framework for Computational Modeling
Overview
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).
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Health
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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Checks run against github.com/oeysan/bfw on 2026-07-19.
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
7 releases. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 0.4.2Latest
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 0.4.12019-11-25 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 0.4.02019-02-04 · diff ↗
- 0.3.02018-11-04 · diff ↗
- 0.2.02018-09-11 · diff ↗
- 0.1.02018-06-20 · diff ↗
- 0.0.12018-06-15
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2018-06-15
- Total releases
- 7 / 8 yrs
- License
- MIT + file LICENSE OSI
- Download size
- 556 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet