Package: jagstargets 1.2.1.9000

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

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jagstargets.pdf |jagstargets.html
jagstargets/json (API)
NEWS

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

Peer review:

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

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

On CRAN:

bayesianhigh-performance-computingjagsmaker-targetopiareproducibilityrjagsstatisticstargets

10 exports 10 stars 6.92 score 59 dependencies 30 scripts 785 downloads

Last updated 1 months agofrom:dfaf57cc9c (on main). Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 06 2024
R-4.5-winOKOct 06 2024
R-4.5-linuxOKOct 06 2024
R-4.4-winOKOct 06 2024
R-4.4-macOKOct 06 2024
R-4.3-winOKOct 06 2024
R-4.3-macOKOct 06 2024

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

Bayesian simulation pipelines with jagstargets

Rendered fromsimulation.Rmdusingknitr::rmarkdownon Oct 06 2024.

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

Introduction to jagstargets

Rendered fromintroduction.Rmdusingknitr::rmarkdownon Oct 06 2024.

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