CRAN/E | bfw

bfw

Bayesian Framework for Computational Modeling

Installation

About

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).

github.com/oeysan/bfw/
System requirements JAGS >=4.3.0 <https://mcmc-jags.sourceforge.io>, Java JDK >=1.4 <https://www.java.com/en/download/manual.jsp>
Bug report File report

Key Metrics

Version 0.4.2
R ≥ 3.5.0
Published 2022-02-22 766 days ago
Needs compilation? no
License MIT
License File
CRAN checks bfw results

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Maintainer

Maintainer

Øystein Olav Skaar

bayesianfw@gmail.com

Authors

Øystein Olav Skaar

aut / cre

Material

README
NEWS
Reference manual
Package source

Vignettes

Fit Latent Data
Fit Observed Data
Predict Metric
Plot Data
Regression

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

bfw archive

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