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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 |
| 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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