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: |
1.9.1 |
| 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), 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: |
2024-12-04 |
| 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 |