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bfw  

Bayesian Framework for Computational Modeling
View on CRAN: Click here


Download and install bfw package within the R console
Install from CRAN:
install.packages("bfw")

Install from Github:
library("remotes")
install_github("cran/bfw")

Install by package version:
library("remotes")
install_version("bfw", "0.4.2")



Attach the package and use:
library("bfw")
Maintained by
Øystein Olav Skaar
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-06-15
Latest Update: 2022-02-22
Description:
Derived from the work of Kruschke (2015, ), 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, ). 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).
How to cite:
Øystein Olav Skaar (2018). bfw: Bayesian Framework for Computational Modeling. R package version 0.4.2, https://cran.r-project.org/web/packages/bfw. Accessed 15 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:21), 0.0.1 (2018-06-15 13:18), 0.1.0 (2018-06-20 07:18), 0.2.0 (2018-09-11 18:20), 0.3.0 (2018-11-04 12:40), 0.4.0 (2019-02-04 15:53), 0.4.1 (2019-11-25 10:20)
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Complete documentation for bfw
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