Package: jagstargets 1.2.3
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_1.2.3.tar.gz
jagstargets_1.2.3.zip(r-4.7)jagstargets_1.2.3.zip(r-4.6)jagstargets_1.2.3.zip(r-4.5)
jagstargets_1.2.3.tgz(r-4.6-any)jagstargets_1.2.3.tgz(r-4.5-any)
jagstargets_1.2.3.tar.gz(r-4.7-any)jagstargets_1.2.3.tar.gz(r-4.6-any)
jagstargets_1.2.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
jagstargets/json (API)
NEWS
| # Install 'jagstargets' in R: |
| install.packages('jagstargets', repos = c('https://packages.ropensci.org', 'https://cloud.r-project.org')) |
Reviews:rOpenSci Software Review #425
Bug tracker:https://github.com/ropensci/jagstargets/issues
Pkgdown/docs site:https://docs.ropensci.org
- jags– Just Another Gibbs Sampler for Bayesian MCMC - binary JAGS is Just Another Gibbs Sampler. It is a program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation not wholly unlike BUGS. JAGS was written with three aims in mind: * To have an engine for the BUGS language that runs on Unix * To be extensible, allowing users to write their own functions, distributions and samplers. * To be a plaftorm for experimentation with ideas in Bayesian modelling This package contains the 'jags' binary as well as the associated shared library modules loaded by the binary.
- c++– GNU Standard C++ Library v3
bayesianhigh-performance-computingjagsmaker-targetopiareproducibilityrjagsstatisticstargetscpp
Last updated from:fef92d0d74 (on main). Checks:10 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 158 | ||
| pkgdown docs | OK | 162 | ||
| source / vignettes | OK | 216 | ||
| linux-release-x86_64 | OK | 189 | ||
| macos-release-arm64 | OK | 147 | ||
| macos-oldrel-arm64 | OK | 181 | ||
| windows-devel | OK | 116 | ||
| windows-release | OK | 116 | ||
| windows-oldrel | OK | 103 | ||
| wasm-release | OK | 162 |
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:abindbackportsbase64urlbootcallrcheckmateclicodacodetoolscpp11data.tabledistributionaldplyrevaluatefsfstfstcoregenericsgluehighrigraphknitrlatticelifecyclemagrittrMatrixmatrixStatsnumDerivpillarpkgconfigposteriorprettyunitsprocessxpspurrrqs2R2jagsR2WinBUGSR6RcppRcppParallelrjagsrlangsecretbasestringfishstringistringrtarchetypestargetstensorAtibbletidyselectutf8vctrswithrxfunyaml
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 |
