On Wed, 6 Aug 2014, stephen sefick wrote:

Hi all:

I have had recent issues with citing a package(s) in journals. I have a
package that has been cited as the Documentation and accepted into
journals, but I just had a problem with the lme4 package. We are citing the
submitted paper instead of the documentation. In other words, the citation
from the citation function was not acceptable to the editor.

Experiences? Thoughts for a solution? Are there standard ways of doing this?

This still keeps coming up from time to time. By now, many editors have accepted that a software+manual published on a web page can be something that is worth citing - others still don't allow it. But hopefully this resistance will die out eventually.

The standard workaround is, of course, to cite a journal paper or book about the software. This was always one of the most important objectives of JSS: to give software authors something that is considered citable. And hopefully there will be a JSS paper on lme4 in the not-so-distant future.

Maybe the R Foundation could publish a manual of which all package
documentation is a sub-publication kind of like an edited book?

Well CRAN already hosts a web page with a standard URL where the manual is posted. So this is considered to be a credible source for many by now and it's probably not worth the effort anymore to set up such an artificial documentation series with ISSN etc.

I just am trying to make sure that everyone that makes the R ecosystem so
useful gets attribution for their work.

Yes, keep up trying and hopefully sooner than later citing the software directly (rather than a paper about it) will be accepted by almost all editors.

Best,
Z

Many thanks to everyone involved.

--
Stephen Sefick
**************************************************
Auburn University
Biological Sciences
331 Funchess Hall
Auburn, Alabama
36849
**************************************************
sas0...@auburn.edu
http://www.auburn.edu/~sas0025
**************************************************

Let's not spend our time and resources thinking about things that are so
little or so large that all they really do for us is puff us up and make us
feel like gods.  We are mammals, and have not exhausted the annoying little
problems of being mammals.

                               -K. Mullis

"A big computer, a complex algorithm and a long time does not equal
science."

                             -Robert Gentleman

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