Make more accessible information about maintainers. Extracts and makes comparable some dates. It also provides the user name used and cleans the names of the maintainer of extra quotes.
Value
A data.frame with one row per package and 11 columns. The package name, Maintainer field, user maintainer manual date, packaged date, published date, name of maintainer used, email used, direction and domain.
Details
User is what the machine building the package reported. This might indicate some collaboration, repackaging or simply nothing as it can be hidden/modified. The name, email and user might help identify similar named people (or confuse between maintainers)
See also
The raw source of the data is: CRAN_authors_db()
Examples
maintainers <- cran_maintainers()
head(maintainers)
#> Package Maintainer user
#> 1 AalenJohansen Martin Bladt <martinbladt@math.ku.dk> martinbladt
#> 2 aamatch Paul Rosenbaum <rosenbaum@wharton.upenn.edu> rosenbap
#> 3 AATtools Sercan Kahveci <sercan.kahveci@plus.ac.at> b1066151
#> 4 ABACUS Mintu Nath <dr.m.nath@gmail.com> s02mn9
#> 5 abasequence Andrew Pilny <andy.pilny@uky.edu> andypilny
#> 6 abbreviate Sigbert Klinke <sigbert@hu-berlin.de> sk
#> maintainer_date packaged_date published_date Name
#> 1 <NA> 2023-02-28 2023-03-01 Martin Bladt
#> 2 <NA> 2025-06-21 2025-06-24 Paul Rosenbaum
#> 3 <NA> 2024-08-16 2024-08-16 Sercan Kahveci
#> 4 <NA> 2019-09-12 2019-09-20 Mintu Nath
#> 5 <NA> 2023-07-13 2023-07-14 Andrew Pilny
#> 6 2021-12-12 2021-12-12 2021-12-14 Sigbert Klinke
#> email direction domain
#> 1 martinbladt@math.ku.dk martinbladt math.ku.dk
#> 2 rosenbaum@wharton.upenn.edu rosenbaum wharton.upenn.edu
#> 3 sercan.kahveci@plus.ac.at sercan.kahveci plus.ac.at
#> 4 dr.m.nath@gmail.com dr.m.nath gmail.com
#> 5 andy.pilny@uky.edu andy.pilny uky.edu
#> 6 sigbert@hu-berlin.de sigbert hu-berlin.de