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A PEP, or Portable Encapsulated Project, is a dataset that subscribes to the PEP structure for organizing metadata. It is written using a simple YAML + CSV format, it is your one-stop solution to metadata management across data analysis environments. This package reads this standardized project configuration structure into R. Described in Sheffield et al. (2021) <doi:10.1093/gigascience/giab077>.
Version: | 0.5.0 |
Imports: | yaml, stringr, pryr, data.table, methods, RCurl |
Suggests: | knitr, testthat, rmarkdown, curl |
Published: | 2023-11-21 |
DOI: | 10.32614/CRAN.package.pepr |
Author: | Nathan Sheffield [aut, cph, cre], Michal Stolarczyk [aut] |
Maintainer: | Nathan Sheffield <nathan at code.databio.org> |
BugReports: | https://github.com/pepkit/pepr |
License: | BSD_2_clause + file LICENSE |
NeedsCompilation: | no |
Citation: | pepr citation info |
Materials: | README NEWS |
CRAN checks: | pepr results |
Package source: | pepr_0.5.0.tar.gz |
Windows binaries: | r-devel: pepr_0.5.0.zip, r-release: pepr_0.5.0.zip, r-oldrel: pepr_0.5.0.zip |
macOS binaries: | r-release (arm64): pepr_0.5.0.tgz, r-oldrel (arm64): pepr_0.5.0.tgz, r-release (x86_64): pepr_0.5.0.tgz, r-oldrel (x86_64): pepr_0.5.0.tgz |
Old sources: | pepr archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.