The dependencies of CRAN packages can be analysed in a network fashion. For each package we can obtain the packages that it depends, imports, suggests, etc. By iterating this procedure over a number of packages, we can build, visualise, and analyse the dependency network, enabling us to have a bird's-eye view of the CRAN ecosystem. One aspect of interest is the number of reverse dependencies of the packages, or equivalently the in-degree distribution of the dependency network. This can be fitted by the power law and/or an extreme value mixture distribution, of which functions are provided.
Version: | 0.0.2 |
Depends: | R (≥ 3.4) |
Imports: | xml2, rvest, stringr, dplyr, igraph, Rcpp |
LinkingTo: | Rcpp, RcppArmadillo, RcppGSL |
Suggests: | ggplot2, tibble, knitr, rmarkdown |
Published: | 2020-07-19 |
Author: | Clement Lee [aut, cre] |
Maintainer: | Clement Lee <clement.lee.tm at outlook.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | yes |
Materials: | README NEWS |
CRAN checks: | crandep results |
Reference manual: | crandep.pdf |
Vignettes: |
Modelling the number of reverse dependencies Introduction to crandep |
Package source: | crandep_0.0.2.tar.gz |
Windows binaries: | r-devel: crandep_0.0.2.zip, r-release: crandep_0.0.2.zip, r-oldrel: crandep_0.0.2.zip |
macOS binaries: | r-release: crandep_0.0.2.tgz, r-oldrel: crandep_0.0.2.tgz |
Old sources: | crandep archive |
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