Other packages > Find by keyword >

pepr  

Reading Portable Encapsulated Projects
View on CRAN: Click here


Download and install pepr package within the R console
Install from CRAN:
install.packages("pepr")

Install from Github:
library("remotes")
install_github("cran/pepr")

Install by package version:
library("remotes")
install_version("pepr", "0.6.1")



Attach the package and use:
library("pepr")
Maintained by
Nathan Sheffield
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-04
Latest Update: 2023-11-21
Description:
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) .
How to cite:
Nathan Sheffield (2020). pepr: Reading Portable Encapsulated Projects. R package version 0.6.1, https://cran.r-project.org/web/packages/pepr. Accessed 10 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:40), 0.3.2 (2020-06-04 13:20), 0.4.0 (2020-10-16 08:10), 0.5.0 (2023-11-21 15:10), 0.6.0 (2026-03-01 00:20)
Other packages that cited pepr R package
View pepr citation profile
Other R packages that pepr depends, imports, suggests or enhances
Complete documentation for pepr
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

keyATM  
Keyword Assisted Topic Models
Fits keyword assisted topic models (keyATM) using collapsed Gibbs samplers. The keyATM combines the ...
Download / Learn more Package Citations See dependency  
adespatial  
Multivariate Multiscale Spatial Analysis
Tools for the multiscale spatial analysis of multivariate data. Several methods are based on the us ...
Download / Learn more Package Citations See dependency  
eoR  
Data Management Package (Exposure and Occurrence Data in R)
This data management package provides some helper classes for publicly available data sources (HMD, ...
Download / Learn more Package Citations See dependency  
RPEnsemble  
Random Projection Ensemble Classification
Implements the methodology of "Cannings, T. I. and Samworth, R. J. (2017) Random-projection ensemble ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  

28,989

R Packages

247,686

Dependencies

76,729

Author Associations

28,990

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA