<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Dynamic Function-Oriented 'Make'-Like Declarative Pipelines</dc:title>
  <dc:title>R package targets version 1.12.0</dc:title>
  <dc:subject>CRAN Task View: HighPerformanceComputing (https://CRAN.R-project.org/view=HighPerformanceComputing)</dc:subject>
  <dc:subject>CRAN Task View: ReproducibleResearch (https://CRAN.R-project.org/view=ReproducibleResearch)</dc:subject>
  <dc:description>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, &lt;doi:10.21105/joss.00550&gt;).</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0)</dc:relation>
  <dc:relation>Imports: base64url (&gt;= 1.4), callr (&gt;= 3.7.0), cli (&gt;= 2.0.2),
codetools (&gt;= 0.2.16), data.table (&gt;= 1.16.0), igraph (&gt;=
2.0.0), knitr (&gt;= 1.34), prettyunits (&gt;= 1.1.0), ps (&gt;= 1.8.0),
R6 (&gt;= 2.4.1), rlang (&gt;= 1.0.0), secretbase (&gt;= 0.5.0), stats,
tibble (&gt;= 3.0.1), tidyselect (&gt;= 1.1.0), tools, utils, vctrs
(&gt;= 0.2.4), yaml (&gt;= 2.2.1)</dc:relation>
  <dc:relation>Suggests: autometric (&gt;= 0.1.0), bslib, clustermq (&gt;= 0.9.2), crew (&gt;=
0.9.0), curl (&gt;= 4.3), DT (&gt;= 0.14), dplyr (&gt;= 1.0.0), fst (&gt;=
0.9.2), future (&gt;= 1.19.1), future.batchtools (&gt;= 0.9.0),
future.callr (&gt;= 0.6.0), gargle (&gt;= 1.2.0), googleCloudStorageR
(&gt;= 0.7.0), gt (&gt;= 0.2.2), keras (&gt;= 2.2.5.0), markdown (&gt;=
1.1), nanonext (&gt;= 0.12.0), rmarkdown (&gt;= 2.4), parallelly (&gt;=
1.35.0), paws.common (&gt;= 0.6.4), paws.storage (&gt;= 0.4.0),
pkgload (&gt;= 1.1.0), processx (&gt;= 3.4.3), qs2, reprex (&gt;=
2.0.0), rstudioapi (&gt;= 0.11), R.utils (&gt;= 2.6.0), shiny (&gt;=
1.5.0), shinybusy (&gt;= 0.2.2), shinyWidgets (&gt;= 0.5.4),
tarchetypes, testthat (&gt;= 3.0.0), torch (&gt;= 0.1.0), usethis (&gt;=
1.6.3), visNetwork (&gt;= 2.1.2)</dc:relation>
  <dc:creator>William Michael Landau &lt;will.landau.oss@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>William Michael Landau [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0003-1878-3253&gt;),
  Matthew T. Warkentin [ctb],
  Mark Edmondson [ctb] (ORCID: &lt;https://orcid.org/0000-0002-8434-3881&gt;),
  Samantha Oliver [rev] (ORCID: &lt;https://orcid.org/0000-0001-5668-1165&gt;),
  Tristan Mahr [rev] (ORCID: &lt;https://orcid.org/0000-0002-8890-5116&gt;),
  Eli Lilly and Company [cph, fnd]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=targets/LICENSE)</dc:rights>
  <dc:date>2026-02-09</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=targets</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.targets</dc:identifier>
  <dc:language>en-US</dc:language>
</oai_dc:dc>
