Package: stantargets 0.1.2

William Michael Landau

stantargets: Targets for Stan Workflows

Bayesian data analysis usually incurs long runtimes and cumbersome custom code. A pipeline toolkit tailored to Bayesian statisticians, the 'stantargets' R package leverages 'targets' and 'cmdstanr' to ease these burdens. 'stantargets' makes it super easy to set up scalable Stan 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. 'stantargets' can access all of 'cmdstanr''s major algorithms (MCMC, variational Bayes, and optimization) and it supports both single-fit workflows and multi-rep simulation studies. For the statistical methodology, please refer to 'Stan' documentation (Stan Development Team 2020) <https://mc-stan.org/>.

Authors:William Michael Landau [aut, cre], Krzysztof Sakrejda [rev], Matthew T. Warkentin [rev], Eli Lilly and Company [cph]

stantargets_0.1.2.tar.gz
stantargets_0.1.2.zip(r-4.6)stantargets_0.1.2.zip(r-4.5)stantargets_0.1.2.zip(r-4.4)
stantargets_0.1.2.tgz(r-4.5-any)stantargets_0.1.2.tgz(r-4.4-any)
stantargets_0.1.2.tar.gz(r-4.6-noble)stantargets_0.1.2.tar.gz(r-4.5-noble)
stantargets_0.1.2.tgz(r-4.4-emscripten)stantargets_0.1.2.tgz(r-4.3-emscripten)
stantargets.pdf |stantargets.html
stantargets/json (API)
NEWS

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

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

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

On CRAN:

Conda:

bayesianhigh-performance-computingmaker-targetopiareproducibilitystanstatisticstargets

5.24 score 49 stars 178 scripts 29 exports 55 dependencies

Last updated 5 months agofrom:6383261065 (on 0.1.2). Checks:1 ERROR, 7 WARNING, 2 OK. Indexed: no.

TargetResultTotal time
source / vignettesERROR278
linux-develWARNING282
linux-releaseWARNING161
macos-release-arm64WARNING87
macos-oldrel-arm64WARNING83
windows-develWARNING150
windows-releaseWARNING148
windows-oldrelWARNING156
wasm-releaseOK415
wasm-oldrelOK367

Exports:tar_stan_compiletar_stan_compile_runtar_stan_example_datatar_stan_example_filetar_stan_gqtar_stan_gq_rep_drawstar_stan_gq_rep_runtar_stan_gq_rep_summarytar_stan_gq_runtar_stan_mcmctar_stan_mcmc_rep_diagnosticstar_stan_mcmc_rep_drawstar_stan_mcmc_rep_runtar_stan_mcmc_rep_summarytar_stan_mcmc_runtar_stan_mletar_stan_mle_rep_drawstar_stan_mle_rep_runtar_stan_mle_rep_summarytar_stan_mle_runtar_stan_outputtar_stan_rep_data_batchtar_stan_summarytar_stan_summary_join_datatar_stan_vbtar_stan_vb_rep_drawstar_stan_vb_rep_runtar_stan_vb_rep_summarytar_stan_vb_run

Dependencies:abindbackportsbase64urlBHcallrcheckmateclicmdstanrcodetoolscpp11data.tabledistributionaldplyrevaluatefansifsfstfstcoregenericsgluehighrigraphjsonliteknitrlatticelifecyclemagrittrMatrixmatrixStatsnumDerivpillarpkgconfigposteriorprettyunitsprocessxpspurrrqsR6RApiSerializeRcppRcppParallelrlangsecretbasestringfishtarchetypestargetstensorAtibbletidyselectutf8vctrswithrxfunyaml