gp: Run good practice checks

In goodpractice: Advice on R Package Building

Run good practice checks

Description

To see the results, just print it to the screen.

Usage

gp(
  path = ".",
  checks = default_checks(),
  extra_preps = NULL,
  extra_checks = NULL,
  quiet = TRUE
)

Arguments

path	Path to a package root.
checks	Character vector, the checks to run. Defaults to default_checks. Use all_checks to list all checks, or add optional sets like tidyverse_checks. When NULL, all registered checks are run, subject to any exclusions from goodpractice.exclude_check_groups or GP_EXCLUDE_CHECK_GROUPS.
extra_preps	Custom preparation functions. See make_prep on creating preparation functions.
extra_checks	Custom checks. See make_check on creating checks.
quiet	Whether to suppress output from the preparation functions. Note that not all preparation functions produce output, even if this option is set to FALSE.

Value

A goodpractice object that you can query with a simple API. See results to start.

Excluding check groups

When using the default checks = all_checks(), entire groups of checks can be excluded by group name via the goodpractice.exclude_check_groups option or the GP_EXCLUDE_CHECK_GROUPS environment variable (comma-separated). The option takes precedence.

# Skip URL and coverage checks:
options(goodpractice.exclude_check_groups = c("urlchecker", "covr"))

# Or via environment variable:
Sys.setenv(GP_EXCLUDE_CHECK_GROUPS = "urlchecker,covr")

Exclusion only applies when checks = NULL (the default). Explicit checks arguments are never filtered.

Excluding files

Specific files can be excluded from checks via the goodpractice.exclude_path option or the GP_EXCLUDE_PATH environment variable (comma-separated). Paths are relative to the package root.

options(goodpractice.exclude_path = c("R/RcppExports.R", "R/generated.R"))

# Or via environment variable:
Sys.setenv(GP_EXCLUDE_PATH = "R/RcppExports.R,R/generated.R")

Excluded files are skipped by lintr, treesitter, expression, and roxygen2 checks.

Parallel preparation

Preparation steps run sequentially by default. To run them in parallel, install future.apply and set a plan:

future::plan("multisession")
gp(".")

Preps run in parallel only when a non-sequential plan is active. Prep functions must be independent: in parallel mode each prep receives the initial state snapshot, so a prep cannot read another prep's output. Only new state fields are merged back; if two preps write the same field, the second is dropped with a warning.

Examples

path <- system.file("bad1", package = "goodpractice")
# Run a subset of all checks available
g <- gp(path, checks = all_checks()[9:16])
g
# Or run with named check groups
g <- gp(path, checks = checks_by_group("description", "namespace"))

goodpractice documentation built on June 5, 2026, 5:06 p.m.