Function-oriented Make-like declarative pipelines 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 pipelines concisely and compactly. The methods in this package were influenced by the 'targets' R package. by Will Landau (2018) <doi:10.21105/joss.00550>.
Version: 0.13.1 Depends: R (≥ 4.1.0) Imports: dplyr (≥ 1.0.0), fs (≥ 1.4.2), parallel, rlang (≥ 0.4.7), secretbase (≥ 0.4.0), targets (≥ 1.6.0), tibble (≥ 3.0.1), tidyselect (≥ 1.1.0), utils, vctrs (≥ 0.3.4), withr (≥ 2.1.2) Suggests: curl (≥ 4.3), knitr (≥ 1.28), nanoparquet, quarto (≥ 1.4), rmarkdown (≥ 2.1), testthat (≥ 3.0.0), xml2 (≥ 1.3.2) Published: 2025-05-08 DOI: 10.32614/CRAN.package.tarchetypes Author: William Michael Landau [aut, cre], Rudolf Siegel [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/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 resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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