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DESCRIPTION
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DESCRIPTION
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Package: DataPackageR
Type: Package
Title: Construct Reproducible Analytic Data Sets as R Packages
Authors@R:
c(person(given = "Greg Finak", role=c("aut","cre","cph"), email="[email protected]"),
person(given = "Paul Obrecht", role=c("ctb")),
person(given = "Ellis Hughes", role=c("ctb")),
person("Kara", "Woo", role = "rev",
comment = "Kara reviewed the package for ropensci, see <https://github.com/ropensci/onboarding/issues/230>"),
person("William", "Landau", role = "rev",
comment = "William reviewed the package for ropensci, see <https://github.com/ropensci/onboarding/issues/230>"))
Version: 0.15.8
Description: 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 in github, and used to share data for manuscripts,
collaboration and general reproducibility.
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports:
digest,
knitr,
utils,
rmarkdown,
desc,
yaml,
purrr,
roxygen2 (>= 6.0.1),
devtools (>= 1.12.0),
assertthat,
stringr,
futile.logger,
rprojroot,
usethis,
crayon
VignetteBuilder: knitr
RoxygenNote: 7.1.0
Encoding: UTF-8
Suggests:
spelling,
testthat,
covr,
data.tree,
URL: https://docs.ropensci.org/DataPackageR (website)
https://github.com/ropensci/DataPackageR
BugReports: https://github.com/ropensci/DataPackageR/issues
SystemRequirements: pandoc (>= 1.12.3) - http://pandoc.org
Language: en-US