In ikosmidis/cranly: Package Directives and Collaboration Networks in CRAN

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.width = 6,
  fig.height = 6
)

Packages for glm's and associated methods

The current vignette is a quick analysis of all CRAN packages that have "glm" in their name. The crude assumption we make here is that a package with "glm" in its name does something related to generalized linear models.

CRAN package directives and author collaboration networks

Let's attach cranly

library("cranly")

and use instances of the package directives and author collaboration networks

package_network <- readRDS(url("https://raw.githubusercontent.com/ikosmidis/cranly/develop/inst/extdata/package_network.rds"))
author_network <- readRDS(url("https://raw.githubusercontent.com/ikosmidis/cranly/develop/inst/extdata/author_network.rds"))

from CRAN's state on r format(attr(package_network, "timestamp"), usetz = TRUE)

Alternatively, today's package directives and author collaboration networks can be constructed by doing

cran_db <- clean_CRAN_db()
package_network <- build_network(cran_db)
author_network <- build_network(cran_db, perspective = "author")

Packages for generalized linear models

The packages that have "glm" in their name are

(glm_packages <- package_with(package_network, name = "glm"))

The sub-network for glm_packages can be visualized using

plot(package_network, package = glm_packages)

In order to focus on the sub-network with edges only between the packages in glm_packages, we do

glm_package_only_network <- subset(package_network, package = glm_packages, only = TRUE)
plot(glm_package_only_network, package = glm_packages)

The top-20 packages in terms of various statistics of the directives sub-network for generalized linear models according to the number they are imported by other packages

glm_package_network <- subset(package_network, package = glm_packages)
glm_package_summaries <- summary(glm_package_network)
plot(glm_package_summaries, according_to = "n_imported_by")

The top-20 in the collaboration sub-network for generalized linear models according to the number of collaborators is

glm_author_network <- subset(author_network, package = glm_packages)
glm_author_summaries <- summary(glm_author_network)
plot(glm_author_summaries, according_to = "n_collaborators")