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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 + fileLICENSE
NeedsCompilation:no
Citation:pepr citation info
Materials:README,NEWS
CRAN checks:pepr results

Documentation:

Reference manual:pepr.html ,pepr.pdf
Vignettes:Sample modifiers in pepr: append (source,R code)
Sample modifiers in pepr: imply (source,R code)
Sample modifiers in pepr: derive (source,R code)
Sample modifiers in pepr: imply and derive (source,R code)
Subsample table in pepr (source,R code)
Amendments in pepr (source,R code)
Getting Started with pepr (source,R code)

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 formhttps://CRAN.R-project.org/package=peprto link to this page.


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