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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 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

Documentation:

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

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=pepr to link to this page.

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.
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