foghorn provides the results of the package CRAN checks.
As a maintainer, you can easily get the results of the checks for your
packages by using the email address included in the
DESCRIPTION file of your packages.
summary_cran_results() provides you with a graphical
summary of the results of the CRAN checks. The number in parenthesis
after the name of the package indicates the number of platforms used by
CRAN that produced this result.
## Graphical interface
summary_cran_results(email = "francois.michonneau@gmail.com")## ✔ All clear for riceware, rotl!## ✖ Package with errors on CRAN:
## - foghorn (4)## ★ Packages with notes on CRAN:
## - phylobase (5)
## - rncl (4)summary_cran_results() is actually an alias of
summary(cran_results()), meaning that you can call
cran_results() directly if you want to easily access the
underlying data for the results of the CRAN checks. These results are
stored in a tibble.
## Results as a tibble
cran_results(email = "francois.michonneau@gmail.com")## # A tibble: 5 × 7
## package error fail warn note ok has_other_issues
## <chr> <int> <int> <int> <int> <int> <lgl>
## 1 foghorn 4 0 0 0 9 FALSE
## 2 phylobase 0 0 0 5 8 FALSE
## 3 riceware 0 0 0 0 13 FALSE
## 4 rncl 0 0 0 4 9 FALSE
## 5 rotl 0 0 0 0 13 FALSEIn addition of your own packages, you can also check the results for any other packages that might be of interest to you:
## either by themselves
summary_cran_results(pkg = c("ggplot2", "dplyr"))## ✖ Package with errors on CRAN:
## - dplyr (1)## ★ Packages with notes on CRAN:
## - dplyr (6)
## - ggplot2 (9)
cran_results(pkg = c("ggplot2", "dplyr"))## # A tibble: 2 × 7
## package error fail warn note ok has_other_issues
## <chr> <int> <int> <int> <int> <int> <lgl>
## 1 dplyr 1 0 0 6 6 FALSE
## 2 ggplot2 0 0 0 9 4 FALSE
## or by combining them with email addresses
summary_cran_results(email = "francois.michonneau@gmail.com",
pkg = c("mregions", "ridigbio"))## ✔ All clear for mregions, riceware, ridigbio, rotl!## ✖ Package with errors on CRAN:
## - foghorn (4)## ★ Packages with notes on CRAN:
## - phylobase (5)
## - rncl (4)
cran_results(email = "francois.michonneau@gmail.com",
pkg = c("mregions", "ridigbio"))## # A tibble: 7 × 7
## package error fail warn note ok has_other_issues
## <chr> <int> <int> <int> <int> <int> <lgl>
## 1 foghorn 4 0 0 0 9 FALSE
## 2 mregions 0 0 0 0 13 FALSE
## 3 phylobase 0 0 0 5 8 FALSE
## 4 riceware 0 0 0 0 13 FALSE
## 5 ridigbio 0 0 0 0 13 FALSE
## 6 rncl 0 0 0 4 9 FALSE
## 7 rotl 0 0 0 0 13 FALSEYou can inspect the logs for the check results using
summary_cran_details(pkg) (or
summary(cran_details(pkg))), while
visit_cran_check(pkg) takes you directly to the CRAN
webpage.
tidyr_details <- cran_details(pkg = "tidyr")
tidyr_details## # A tibble: 1 × 7
## package version result check flavors n_fla…¹ message
## <chr> <chr> <chr> <chr> <chr> <dbl> <chr>
## 1 tidyr 1.2.1 NOTE data for non-ASCII characters r-devel-… 6 " …
## # … with abbreviated variable name ¹n_flavors
summary(tidyr_details)## ★ tidyr - note: data for non-ASCII characters
## ❯ r-devel-linux-x86_64-fedora-clang
## ❯ r-devel-linux-x86_64-fedora-gcc
## ❯ r-release-macos-arm64
## ❯ r-release-macos-x86_64
## ❯ r-oldrel-macos-arm64
## ❯ r-oldrel-macos-x86_64
##
## Note: found 24 marked UTF-8 stringsThe data from the check results used by this package are either
scrapped from the CRAN web pages (default), or are from the CRAN
database (that CRAN uses to build the webpages). The first option is
faster if you want to regularly check a few packages. However, if you
are doing statistics on a large number of packages, using the CRAN
database is recommended (it’s about 20Mb of data). To use the CRAN
database, add src = "crandb" in your function calls:
cran_results(pkg = "nlme", src = "crandb")Check out the “Details” section in the help files for more information.
Feel free to submit feedback and suggestions by opening an issue on GitHub.