DataPackageR: Construct Reproducible Analytic Data Sets as R Packages

A framework to help construct R data packages in a reproducible manner. Potentially time consuming processing of raw data sets into analysis ready data sets is done in a reproducible manner and decoupled from the usual 'R CMD build' process so that data sets can be processed into R objects in the data package and the data package can then be shared, built, and installed by others without the need to repeat computationally costly data processing. The package maintains data provenance by turning the data processing scripts into package vignettes, as well as enforcing documentation and version checking of included data objects. Data packages can be version controlled on 'GitHub', and used to share data for manuscripts, collaboration and reproducible research.

Version: 0.16.0
Depends: R (≥ 3.5.0)
Imports: crayon, desc, digest, futile.logger, knitr, pkgbuild, pkgload, rmarkdown, roxygen2, rprojroot, usethis, utils, yaml
Suggests: covr, data.tree, spelling, testthat, withr
Published: 2024-06-03
DOI: NA
Author: Greg Finak [aut, cph] (Original author and creator of DataPackageR), Paul Obrecht [ctb], Ellis Hughes ORCID iD [ctb], Jimmy Fulp [ctb], Marie Vendettuoli ORCID iD [ctb], Dave Slager ORCID iD [ctb, cre], Jason Taylor [ctb], Kara Woo [rev] (Kara reviewed the package for rOpenSci, see <https://github.com/ropensci/onboarding/issues/230>), William Landau [rev] (William reviewed the package for rOpenSci, see <https://github.com/ropensci/onboarding/issues/230>)
Maintainer: Dave Slager <dslager at fredhutch.org>
BugReports: https://github.com/ropensci/DataPackageR/issues
License: MIT + file LICENSE
URL: https://github.com/ropensci/DataPackageR, https://docs.ropensci.org/DataPackageR/
NeedsCompilation: no
SystemRequirements: pandoc - https://pandoc.org
Language: en-US
Materials: README NEWS
CRAN checks: DataPackageR results

Documentation:

Reference manual: DataPackageR.pdf
Vignettes: Using DataPackageR
YAML Configuration Details

Downloads:

Package source: DataPackageR_0.16.0.tar.gz
Windows binaries: r-devel: DataPackageR_0.16.0.zip, r-release: DataPackageR_0.16.0.zip, r-oldrel: DataPackageR_0.16.0.zip
macOS binaries: r-release (arm64): DataPackageR_0.16.0.tgz, r-oldrel (arm64): DataPackageR_0.16.0.tgz, r-release (x86_64): DataPackageR_0.16.0.tgz, r-oldrel (x86_64): DataPackageR_0.16.0.tgz
Old sources: DataPackageR archive

Linking:

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