Pipeline tools coordinate the pieces of computationally demanding analysis projects. The 'targets' package is a 'Make'-like pipeline tool for statistics and data science in R. The package skips costly runtime for tasks that are already up to date, orchestrates the necessary computation with implicit parallel computing, and abstracts files as R objects. If all the current output matches the current upstream code and data, then the whole pipeline is up to date, and the results are more trustworthy than otherwise. The methodology in this package borrows from GNU 'Make' (2015, ISBN:978-9881443519) and 'drake' (2018, <doi:10.21105/joss.00550>).
Version: 1.11.3 Depends: R (≥ 3.5.0) Imports: base64url (≥ 1.4), callr (≥ 3.7.0), cli (≥ 2.0.2), codetools (≥ 0.2.16), data.table (≥ 1.12.8), igraph (≥ 2.0.0), knitr (≥ 1.34), prettyunits (≥ 1.1.0), ps (≥ 1.8.0), R6 (≥ 2.4.1), rlang (≥ 1.0.0), secretbase (≥ 0.5.0), stats, tibble (≥ 3.0.1), tidyselect (≥ 1.1.0), tools, utils, vctrs (≥ 0.2.4), yaml (≥ 2.2.1) Suggests: autometric (≥ 0.1.0), bslib, clustermq (≥ 0.9.2), crew (≥ 0.9.0), curl (≥ 4.3), DT (≥ 0.14), dplyr (≥ 1.0.0), fst (≥ 0.9.2), future (≥ 1.19.1), future.batchtools (≥ 0.9.0), future.callr (≥ 0.6.0), gargle (≥ 1.2.0), googleCloudStorageR (≥ 0.7.0), gt (≥ 0.2.2), keras (≥ 2.2.5.0), markdown (≥ 1.1), nanonext (≥ 0.12.0), rmarkdown (≥ 2.4), parallelly (≥ 1.35.0), paws.common (≥ 0.6.4), paws.storage (≥ 0.4.0), pkgload (≥ 1.1.0), processx (≥ 3.4.3), qs2, reprex (≥ 2.0.0), rstudioapi (≥ 0.11), R.utils (≥ 2.6.0), shiny (≥ 1.5.0), shinybusy (≥ 0.2.2), shinyWidgets (≥ 0.5.4), tarchetypes, testthat (≥ 3.0.0), torch (≥ 0.1.0), usethis (≥ 1.6.3), visNetwork (≥ 2.1.2) Published: 2025-05-08 DOI: 10.32614/CRAN.package.targets Author: William Michael Landau [aut, cre], Matthew T. Warkentin [ctb], Mark Edmondson [ctb], Samantha Oliver [rev], Tristan Mahr [rev], Eli Lilly and Company [cph, fnd] Maintainer: William Michael Landau <will.landau.oss at gmail.com> BugReports: https://github.com/ropensci/targets/issues License: MIT + file LICENSE URL: https://docs.ropensci.org/targets/, https://github.com/ropensci/targets NeedsCompilation: no Language: en-US Citation: targets citation info Materials: NEWS In views: HighPerformanceComputing, ReproducibleResearch CRAN checks: targets results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=targets to link to this page.
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