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:William Michael Landau [aut, cre], David Lawrence Miller [rev], Eli Lilly and Company [cph]

jagstargets_1.2.3.tar.gz
jagstargets_1.2.3.zip(r-4.6)jagstargets_1.2.3.zip(r-4.5)jagstargets_1.2.3.zip(r-4.4)
jagstargets_1.2.3.tgz(r-4.5-any)jagstargets_1.2.3.tgz(r-4.4-any)
jagstargets_1.2.3.tar.gz(r-4.6-noble)jagstargets_1.2.3.tar.gz(r-4.5-noble)
jagstargets_1.2.3.tgz(r-4.4-emscripten)jagstargets_1.2.3.tgz(r-4.3-emscripten)
jagstargets.pdf |jagstargets.html
jagstargets/json (API)
NEWS

# Install 'jagstargets' in R:
install.packages('jagstargets', repos = c('https://community.r-multiverse.org', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ropensci/jagstargets/issues

Pkgdown site:https://docs.ropensci.org

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

bayesianhigh-performance-computingjagsmaker-targetopiareproducibilityrjagsstatisticstargetscpp

6.81 score 10 stars 32 scripts 716 downloads 10 exports 58 dependencies

Last updated 5 months agofrom:fef92d0d74 (on 1.2.3). Checks:10 OK. Indexed: no.

TargetResultTotal time
source / vignettesOK185
linux-develOK266
linux-releaseOK173
macos-release-arm64OK75
macos-oldrel-arm64OK80
windows-develOK201
windows-releaseOK163
windows-oldrelOK222
wasm-releaseOK369
wasm-oldrelOK314

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.tabledistributionaldplyrevaluatefansifsfstfstcoregenericsgluehighrigraphknitrlatticelifecyclemagrittrMatrixmatrixStatsnumDerivpillarpkgconfigposteriorprettyunitsprocessxpspurrrqs2R2jagsR2WinBUGSR6RcppRcppParallelrjagsrlangsecretbasestringfishstringistringrtarchetypestargetstensorAtibbletidyselectutf8vctrswithrxfunyaml

Bayesian simulation pipelines with jagstargets

Rendered fromsimulation.Rmdusingknitr::rmarkdownon Apr 27 2025.

Last update: 2022-06-24
Started: 2021-05-08

Introduction to jagstargets

Rendered fromintroduction.Rmdusingknitr::rmarkdownon Apr 27 2025.

Last update: 2022-06-21
Started: 2021-05-08