bfw (0.4.1)

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Bayesian Framework for Computational Modeling.

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).

Maintainer: ystein Olav Skaar
Author(s): ystein Olav Skaar [aut, cre]

License: MIT + file LICENSE

Uses: coda, MASS, runjags, ggplot2, psych, data.table, plyr, testthat, lavaan, png, scales, knitr, circlize, dplyr, magrittr, rmarkdown, covr, rvg, officer

Released about 1 month ago.

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