pepr: Reading Portable Encapsulated Projects

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>
License: BSD_2_clause + file LICENSE
NeedsCompilation: no
Citation: pepr citation info
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_0.5.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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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