In poissonconsulting/jaggernaut: Bayesian Analyses using 'JAGS'

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jaggernaut

DEPRECATED

Development has moved to jmbr.

Introduction

jaggernaut is an R package to facilitate Bayesian analyses using JAGS (Just Another Gibbs Sampler).

Key features include

• the conversion of a data frame into a suitable format for input into JAGS

• the option to automatically update a model (increase the length of the MCMC chains) until convergence is achieved

• the option to run MCMC chains on parallel processes

• the ability to extract derived parameters from an existing model using BUGS code (in the JAGS dialect) without additional MCMC sampling

• simple generation of data frames quantifying the effect (and effect size) of particular variables with the other variables held constant

Installation

To install from GitHub

# install.packages("devtools")
devtools::install_github("poissonconsulting/jaggernaut")

Contribution

Please report any issues.

Pull requests are always welcome.

poissonconsulting/jaggernaut documentation built on Feb. 18, 2021, 11:10 p.m.