Bayesian data analysis usually incurs long runtimes
and cumbersome custom code. A pipeline toolkit tailored to
Bayesian statisticians, the stantargets R package leverages
targets and cmdstanr to ease these burdens.
stantargets makes it super easy to set up scalable
Stan 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.
stantargets can access all of cmdstanr's major algorithms
(MCMC, variational Bayes, and optimization) and it supports
both single-fit workflows and multi-rep simulation studies.