pkgndep: Package dependency analysis

In pkgndep: Analyze Dependency Heaviness of R Packages

Package dependency analysis

Description

Package dependency analysis

Usage

pkgndep(package, verbose = TRUE, online = TRUE, load = FALSE, parse_namespace = TRUE)

Arguments

package	Package name. The value can be 1. a CRAN/Bioconductor package, 2. an installed package, 3. a path of a local package, 4. URL of a GitHub repository.
verbose	Whether to show messages.
online	If the value is TRUE, it will directly use the newest package database file from CRAN/Bioconductor. Note the default Bioconductor version is the one corresponding to the current R version. If you want to use a higher bioc version, you need to set the global option pkgndep_opt$bioc_version. If the value of online is FALSE, a snapshot of the CRAN/Bioconductor package database will be used. The version of the package database snapshot can be via the global option pkgndep_opt$heaviness_db_version.
load	If the value is TRUE, the package is loaded into a fresh new R session and the function will check which upstream packages are also loaded into the R session. Note it is possible that an "Imports" package is not loaded or a "Suggests" package is loaded in the R session when loading package.
parse_namespace	Whether to also parse the NAMESPACE file. It is only used internally.

Value

A pkgndep object.

Examples

## Not run: 
x = pkgndep("ComplexHeatmap")

## End(Not run)
# The `x` variable generated by `pkgndep()` is already saved in this package.
x = readRDS(system.file("extdata", "ComplexHeatmap_dep.rds", package = "pkgndep"))
x
dependency_heatmap(x)

pkgndep documentation built on Oct. 13, 2023, 9:08 a.m.