Bayesian data analysis usually incurs long runtimes
and cumbersome custom code. A pipeline toolkit tailored to
Bayesian statisticians, the jagstargets R package leverages
targets and R2jags to ease this burden.
jagstargets makes it super easy to set up scalable
JAGS pipelines that automatically parallelize the computation
and skip expensive steps when the results are already up to date.
Minimal custom code is required, and there is no need to manually
configure branching, so usage is much easier than targets alone.