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.
| Version: | 0.3.2 |
| Imports: | yaml, stringr, pryr, data.table, methods |
| Suggests: | knitr, testthat, rmarkdown |
| Published: | 2020-06-04 |
| Author: | Nathan Sheffield [aut, cph], Michal Stolarczyk [aut, cre] |
| Maintainer: | Michal Stolarczyk <michal at virginia.edu> |
| BugReports: | https://github.com/pepkit/pepr |
| License: | BSD_2_clause + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | pepr results |
| Reference manual: | pepr.pdf |
| Vignettes: |
Sample modifiers in pepr: append Sample modifiers in pepr: imply Sample modifiers in pepr: derive Sample modifiers in pepr: imply and derive Subsample table in pepr Amendments in pepr Getting Started with pepr |
| Package source: | pepr_0.3.2.tar.gz |
| Windows binaries: | r-devel: pepr_0.3.2.zip, r-release: pepr_0.3.2.zip, r-oldrel: pepr_0.3.2.zip |
| macOS binaries: | r-release: pepr_0.3.2.tgz, r-oldrel: pepr_0.3.2.tgz |
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