To avoid false positives due to existing failures, revdepcheck runs
R CMD check
twice for each revdep, once with the CRAN version of your
package, and once with the local development version. revdepcheck
reports the difference, so you can see exactly what has changed.
To speed up installation of revdeps and their dependencies, revdepcheck
relies on crancache. You can see what
packages are currently cached with crancache::crancache_list()
.
revdepcheck is carefully designed to make long running checks as pleasant as possible. You run checks in parallel, check time is limited to 10 minutes, and an elegant progress bar keeps you up-to-date with what's happening (including an estimate of how much time is remaining).
pak::pkg_install("r-lib/revdepcheck")
library(revdepcheck)
Check package in working directory, creating "revdep/" directory if it doesn't already exist:
revdep_check(num_workers = 4)
If the run fails to complete, run again and it will pick up where it left off:
revdep_check(num_workers = 4)
During execution, run these in a separate R process to view status completed checks:
revdep_summary() # table of results by package
revdep_details(".", "<package>") # full details for the specified package
Generate human-friendly summary documents in revdep/
:
revdep_report()
## Writing *partial* report
## Writing summary to 'revdep/README.md'
## Writing problems to 'revdep/problems.md'
## Writing failures to 'revdep/failures.md'
Manage a "todo" list of packages to examine:
revdep_add(pkg = ".", <packages>) # add <packages> to the list
revdep_rm(pkg = ".", <packages>). # remove <packages> from list
revdep_add_broken() # add all broken packages
revdep_add_new() # add newly available packages
revdep_todo() # list packages in the todo list
Clear out all previous results
revdep_reset()
We recommend running revdep_check()
in a separate process (e.g. new terminal under RStudio). That way, while it runs in a background tab, you can easily use your revdep_details(revdep = "pkg")
to see what's gone wrong with "pkg".
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MIT © Gábor Csárdi, R Consortium, RStudio Inc
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