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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: | 1.7.1 |
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, 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: | 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), pingr (≥ 2.0.1), pkgload (≥ 1.1.0), processx (≥ 3.4.3), qs (≥ 0.24.1), reprex (≥ 2.0.0), rstudioapi (≥ 0.11), R.utils (≥ 2.6.0), shiny (≥ 1.5.0), shinybusy (≥ 0.2.2), shinyWidgets (≥ 0.5.4), testthat (≥ 3.0.0), torch (≥ 0.1.0), usethis (≥ 1.6.3), visNetwork (≥ 2.1.2) |
Published: | 2024-06-20 |
DOI: | 10.32614/CRAN.package.targets |
Author: | William Michael Landau
|
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 |
Reference manual: | targets.pdf |
Vignettes: |
An overview of targets |
Package source: | targets_1.7.1.tar.gz |
Windows binaries: | r-devel: targets_1.7.1.zip, r-release: targets_1.7.1.zip, r-oldrel: targets_1.7.1.zip |
macOS binaries: | r-release (arm64): targets_1.7.1.tgz, r-oldrel (arm64): targets_1.7.1.tgz, r-release (x86_64): targets_1.7.1.tgz, r-oldrel (x86_64): targets_1.7.1.tgz |
Old sources: | targets archive |
Reverse imports: | gittargets, jagstargets, sqltargets, tarchetypes |
Reverse suggests: | data.validator, googleCloudRunner, knitr, repana |
Reverse enhances: | this.path |
Please use the canonical form https://CRAN.R-project.org/package=targets to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.