pac_deps_heavy: Package direct dependencies and number of dependencies for...

In pacs: Supplementary Tools for R Packages Developers

Package direct dependencies and number of dependencies for each of them

Description

A higher-level function, build from pacs::pacs_deps and tools::package_dependencies. A tool to identify a main sources of dependencies, which direct dependencies are the heaviest one.

Usage

pac_deps_heavy(
  pac,
  fields = c("Depends", "Imports", "LinkingTo"),
  lib.loc = .libPaths(),
  base = FALSE,
  local = FALSE,
  repos = pacs::biocran_repos()
)

Arguments

pac	character a package name.
fields	character vector listing the types of dependencies, a subset of c("Depends", "Imports", "LinkingTo", "Suggests", "Enhances"). Character string "all" is shorthand for that vector, character string "most" for the same vector without "Enhances", character string "strong" (default) for the first three elements of that vector. Default: c("Depends", "Imports", "LinkingTo")
lib.loc	character vector of search paths with local packages. Default: .libPaths()
base	logical if to add base packages too. If TRUE then pacs::pacs_base() are taken into account. Default: FALSE
local	logical if to use local repository (or newest remote packages). Default: FALSE
repos	character vector of repositories URLs to use. By default checking CRAN and newest Bioconductor per R version. Default pacs::biocran_repos()

Value

data.frame with three columns c("Package", "NrDeps", "NrUniqueDeps"): package name, number of dependencies and number of unique dependencies (not shared by other direct dependencies).

Note

Please take into account that the sum of the dependencies is not equal to the number of dependencies of the main package, because some dependencies are overlapping.

Examples

## Not run: 
pacs::pac_deps_heavy("caret")
pacs::pac_deps_heavy("dplyr")

## End(Not run)

pacs documentation built on Aug. 19, 2023, 1:08 a.m.