Package: DataPackageR
Type: Package
Title: Construct Reproducible Analytic Data Sets as R Packages
Authors@R: 
    c(person(given = "Greg", family = "Finak",
             role = c("aut","cph"),
             email = "greg.finak@gmail.com",
             comment = "Original author and creator of DataPackageR"),
      person(given = "Paul", family = "Obrecht",
             role = c("ctb")),
      person(given = "Ellis", family = "Hughes",
              role = c("ctb"),
              email = "ellishughes@live.com",
              comment = c(ORCID = "0000-0003-0637-4436")),
      person(given = "Jimmy", family = "Fulp",
              role = c("ctb"), 
              email = "williamjfulp@gmail.com"),
      person(given = "Marie", family = "Vendettuoli",
              role = c("ctb"),
              comment = c(ORCID = "0000-0001-9321-1410")),
      person(given = "Dave", family = "Slager",
              role = c("ctb", "cre"),
              email = "dslager@scharp.org",
              comment = c(ORCID = "0000-0003-2525-2039")),
      person(given = "Jason", family = "Taylor",
              role = c("ctb"), 
              email = "jmtaylor@fredhutch.org"),
      person(given = "Kara", family = "Woo",
              role = "rev",
              comment = "Kara reviewed the package for ropensci, see <https://github.com/ropensci/onboarding/issues/230>"),
      person(given = "William", family = "Landau",
              role = "rev",
      comment = "William reviewed the package for ropensci, see <https://github.com/ropensci/onboarding/issues/230>"))
Version: 0.15.9
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 on 'GitHub', and used to share data for manuscripts,
  collaboration and reproducible research.
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, withr
VignetteBuilder: knitr
RoxygenNote: 7.3.1
Encoding: UTF-8
Suggests: spelling, testthat, covr, data.tree,
URL: https://github.com/ropensci/DataPackageR/,
        https://docs.ropensci.org/DataPackageR/
BugReports: https://github.com/ropensci/DataPackageR/issues
SystemRequirements: pandoc (>= 1.12.3) - http://pandoc.org
Language: en-US
NeedsCompilation: no
Packaged: 2024-04-17 00:34:02 UTC; dslager
Author: Greg Finak [aut, cph] (Original author and creator of DataPackageR),
  Paul Obrecht [ctb],
  Ellis Hughes [ctb] (<https://orcid.org/0000-0003-0637-4436>),
  Jimmy Fulp [ctb],
  Marie Vendettuoli [ctb] (<https://orcid.org/0000-0001-9321-1410>),
  Dave Slager [ctb, cre] (<https://orcid.org/0000-0003-2525-2039>),
  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@scharp.org>
Repository: CRAN
Date/Publication: 2024-04-17 06:50:13 UTC
Built: R 4.2.3; ; 2024-04-17 07:39:29 UTC; unix
