Package: jagstargets 1.2.0.9000
William Michael Landau
jagstargets: Targets for JAGS Pipelines
Bayesian data analysis usually incurs long runtimes and cumbersome custom code. A pipeline toolkit tailored to Bayesian statisticians, the 'jagstargets' R package is 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. For the underlying methodology, please refer to the documentation of 'targets' <doi:10.21105/joss.02959> and 'JAGS' (Plummer 2003) <https://www.r-project.org/conferences/DSC-2003/Proceedings/Plummer.pdf>.
Authors:
jagstargets_1.2.0.9000.tar.gz
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jagstargets.pdf |jagstargets.html✨
jagstargets/json (API)
NEWS
| # Install 'jagstargets' in R: |
| install.packages('jagstargets', repos = c('https://ropensci.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ropensci/jagstargets/issues
bayesianhigh-performance-computingjagsmaker-targetopiareproducibilityrjagsstatisticstargets
Last updated 8 days agofrom:a8493d63e2 (on main)
Exports:tar_jagstar_jags_dftar_jags_example_datatar_jags_example_filetar_jags_rep_data_batchtar_jags_rep_dictar_jags_rep_drawstar_jags_rep_runtar_jags_rep_summarytar_jags_run
Dependencies:abindbackportsbase64urlBHbootcallrcheckmateclicodacodetoolscpp11data.tabledistributionaldplyrevaluatefansifsfstfstcoregenericsgluehighrigraphknitrlatticelifecyclemagrittrMatrixmatrixStatsnumDerivpillarpkgconfigposteriorprocessxpspurrrqsR2jagsR2WinBUGSR6RApiSerializeRcppRcppParallelrjagsrlangsecretbasestringfishstringistringrtarchetypestargetstensorAtibbletidyselectutf8vctrswithrxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| jagstargets: Targets for JAGS Workflows | jagstargets-package jagstargets |
| One MCMC per model with multiple outputs | tar_jags |
| Simulate example JAGS data. | tar_jags_example_data |
| Write an example JAGS model file. | tar_jags_example_file |
| Tidy DIC output from multiple MCMCs per model | tar_jags_rep_dic |
| Tidy posterior draws from multiple MCMCs per model | tar_jags_rep_draws |
| Tidy posterior summaries from multiple MCMCs per model | tar_jags_rep_summary |
