Get Network Representation of an R Package

Tools from the domain of graph theory can be used to quantify the complexity and vulnerability to failure of a software package. That is the guiding philosophy of this package. 'pkgnet' provides tools to analyze the dependencies between functions in an R package and between its imported packages.


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Introduction

pkgnet is an R library designed for the analysis of R libraries! The goal of the package is to build a graph representation of a package and its dependencies to inform a variety of activities, including:

  • prioritizing functions to unit test based on their centrality
  • examining the recursive dependencies you are taking on by using a given package
  • exploring the structure of a new package provided by a coworker or downloaded from the internet

Table of contents

  1. How it Works
  2. Installation
  3. Usage Examples
  4. How to Contribute
  5. Next Steps

How it Works

The core functionality of this package is the CreatePackageReport function.

Installation

This package is now available from CRAN!

install.packages('pkgnet')

Usage Examples

Try it out!

library(pkgnet)
result <- CreatePackageReport('ggplot2')

How to Contribute

To report bugs, request features, or ask questions about the structure of the code, please open an issue.

If you'd like to contribute to the project, please open a pull request. PRs should follow the project's contribution guidelines.

Next Steps

This is a fairly new project and, as the version number indicates, should be regarded as a work in progress.

News

Reference manual

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install.packages("pkgnet")

0.3.2 by Brian Burns, a month ago


https://github.com/UptakeOpenSource/pkgnet


Report a bug at https://github.com/UptakeOpenSource/pkgnet/issues


Browse source code at https://github.com/cran/pkgnet


Authors: Brian Burns [aut, cre] , James Lamb [aut] , Patrick Boueri [ctb] , Jay Qi [aut]


Documentation:   PDF Manual  


BSD_3_clause + file LICENSE license


Imports assertthat, covr, data.table, DT, futile.logger, igraph, knitr, magrittr, methods, R6, rmarkdown, tools, visNetwork

Suggests devtools, testthat, withr


Suggested by getTBinR.


See at CRAN