Function-oriented Make-like declarative workflows for
Statistics and data science are supported in the 'targets' R package.
As an extension to 'targets', the 'tarchetypes' package provides
convenient user-side functions to make 'targets' easier to use.
By establishing reusable archetypes for common kinds of
targets and pipelines, these functions help express complicated
reproducible workflows concisely and compactly.
The methods in this package were influenced by the 'drake' R package
by Will Landau (2018) <doi:10.21105/joss.00550>.
Version: |
0.7.1 |
Depends: |
R (≥ 3.5.0) |
Imports: |
digest (≥ 0.6.25), dplyr (≥ 1.0.0), fs (≥ 1.4.2), rlang (≥
0.4.7), targets (≥ 0.11.0), tibble (≥ 3.0.1), tidyselect (≥
1.1.0), utils, vctrs (≥ 0.3.4), withr (≥ 2.1.2) |
Suggests: |
curl (≥ 4.3), knitr (≥ 1.28), quarto (≥ 1.0), rmarkdown (≥ 2.1), testthat (≥ 3.0.0), xml2 (≥ 1.3.2) |
Published: |
2022-09-07 |
Author: |
William Michael Landau
[aut, cre],
Samantha Oliver
[rev],
Tristan Mahr
[rev],
Eli Lilly and Company [cph] |
Maintainer: |
William Michael Landau <will.landau at gmail.com> |
BugReports: |
https://github.com/ropensci/tarchetypes/issues |
License: |
MIT + file LICENSE |
URL: |
https://docs.ropensci.org/tarchetypes/,
https://github.com/ropensci/tarchetypes |
NeedsCompilation: |
no |
Language: |
en-US |
Citation: |
tarchetypes citation info |
Materials: |
NEWS |
CRAN checks: |
tarchetypes results |