jagstargets

Spec sheet

Purpose

jagstargets creates reproducible pipelines for Bayesian data analysis with JAGS, designed for Bayesian statisticians.Read 4 Oct 2026 · docs.ropensci.org

Intended users

The documentation says users should be familiar with targets, Bayesian statistics, and JAGS; prior experience with rjags or R2jags helps.Read 4 Oct 2026 · docs.ropensci.org

Integrations

jagstargets works with JAGS, R2jags, targets, and posterior.Read 4 Oct 2026 · docs.ropensci.org

Support

Users having trouble can ask for help in the project's GitHub discussions forum.Read 4 Oct 2026 · docs.ropensci.org

Analysis outputs

The workflow can create posterior draws, summary statistics and convergence diagnostics, and deviance information criterion results.Read 4 Oct 2026 · docs.ropensci.org

Distribution and license

The documentation offers installation from CRAN or the GitHub development version, and identifies the license as MIT.Read 4 Oct 2026 · docs.ropensci.org

Efficiency

Pipelines can skip expensive steps when their results are already up to date and automatically parallelize computation.Read 4 Oct 2026 · docs.ropensci.org

Multiple models

You can supply multiple JAGS model files, which run on the same dataset.Read 4 Oct 2026 · docs.ropensci.org

Requirements

Users must install JAGS, rjags, and R2jags before installing jagstargets.Read 4 Oct 2026 · docs.ropensci.org

Workflow

Its tar_jags() function declares targets for fitting JAGS models and managing their workflow through targets.Read 4 Oct 2026 · docs.ropensci.org

Where Specifiction places it

• Workflow Management Software#44 of 486.3