Archetypes for Targets

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) .


Reference manual

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install.packages("tarchetypes")

0.14.1 by William Michael Landau, 6 months ago


https://docs.ropensci.org/tarchetypes/, https://github.com/ropensci/tarchetypes


Report a bug at https://github.com/ropensci/tarchetypes/issues


Browse source code at https://github.com/cran/tarchetypes


Authors: William Michael Landau [aut, cre] (ORCID: , Rudolf Siegel [ctb] , Samantha Oliver [rev] , Tristan Mahr [rev] , Eli Lilly and Company [cph, fnd]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports dplyr, fs, parallel, rlang, secretbase, targets, tibble, tidyselect, utils, vctrs, withr

Suggests curl, knitr, nanoparquet, parsermd, quarto, rmarkdown, testthat, xml2


Imported by jagstargets, sqltargets.

Suggested by fastreg, metrosp, mortar, nlmixr2targets, realestatebr, targets, tarpolyglot, worcs.


See at CRAN