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| author | Kyle Andrews <kyle@posteo.net> | 2023-04-01 04:57:00 +0000 |
|---|---|---|
| committer | Maxim Cournoyer <maxim.cournoyer@gmail.com> | 2023-04-12 08:27:01 -0400 |
| commit | c7906c1b1d1f873d60bbef6ae77e4121f0088c20 (patch) | |
| tree | 44fd980c0989213c6645a349c2bf2e67dbb37064 | |
| parent | a558df03517a12abae85004661c8901c10eb7856 (diff) | |
| download | guix-c7906c1b1d1f873d60bbef6ae77e4121f0088c20.tar guix-c7906c1b1d1f873d60bbef6ae77e4121f0088c20.tar.gz | |
gnu: Add r-targets.
* gnu/packages/cran.scm (r-targets): New variable.,
Signed-off-by: Ricardo Wurmus <rekado@elephly.net>
| -rw-r--r-- | gnu/packages/cran.scm | 42 |
1 files changed, 42 insertions, 0 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm index f2bdd750ca..797b74a128 100644 --- a/gnu/packages/cran.scm +++ b/gnu/packages/cran.scm @@ -14456,6 +14456,48 @@ equations, and Cox proportional hazards models. Functions are available to handle data from simple random samples as well as complex surveys.") (license license:gpl3+))) +(define-public r-targets + (package + (name "r-targets") + (version "0.14.3") + (source (origin + (method url-fetch) + (uri (cran-uri "targets" version)) + (sha256 + (base32 + "0mhwvlbxnb4w054pjiw2smss28i90sg52w8v040y7sqy6gq2c8n6")))) + (properties `((upstream-name . "targets"))) + (build-system r-build-system) + (propagated-inputs (list r-base64url + r-callr + r-cli + r-codetools + r-data-table + r-digest + r-igraph + r-knitr + r-r6 + r-rlang + r-tibble + r-tidyselect + r-vctrs + r-withr + r-yaml)) + (native-inputs (list r-knitr)) + (home-page "https://docs.ropensci.org/targets/") + (synopsis "Dynamic function-oriented Make-like declarative pipelines") + (description + "This package provides a pipeline toolkit for statistics and data science +in R; the @code{targets} package brings function-oriented programming to +Make-like declarative pipelines. It orchestrates a pipeline as a graph of +dependencies, skips steps that are already up to date, runs the necessary +computation with optional parallel workers, abstracts files as R objects, and +provides tangible evidence that the results are reproducible given the +underlying code and data. The methodology in this package borrows from GNU +Make (2015, ISBN:978-9881443519) and drake (2018, +<doi:10.21105/joss.00550>).") + (license license:expat))) + (define-public r-dvmisc (package (name "r-dvmisc") |