[Rd] use of depends, suggests, etc

Ken.Williams at thomsonreuters.com Ken.Williams at thomsonreuters.com
Thu Jan 27 23:31:32 CET 2011

But suppose I want to write something like: "this package is 10 million
times better than my other package [Foo] because that one will eat your
children" - or "in contrast to the package [Bar], this package is for
continuous data, while that one is for discrete data, so they don't

It wouldn't make sense to Depend or Suggest or Import the [Foo] or [Bar]
package, but if I didn't, the doc-building process will (apparently - I
haven't tried it myself) warn about the link being broken.

I can think of several different ways to address this if there isn't an
existing way (e.g. create a generic SeeAlso dependency field; use a
different syntax for citing packages that aren't dependencies of one sort
or another, etc.), but obviously they'd need the blessing of the people
maintaining the tools & specs.

Ken Williams
Senior Research Scientist
Thomson Reuters
Phone: 651-848-7712
ken.williams at thomsonreuters.com

On 1/27/11 4:12 PM, "Prof Brian Ripley" <ripley at stats.ox.ac.uk> wrote:

>On Thu, 27 Jan 2011, Kevin R. Coombes wrote:
>> Hi,
>> I'm putting together an R package.  In explaining how it works (in the
>> files), I want to refer to another package.  The other package is not
>> anywhere in the actual code nor in the examples. So, there is no reason
>> include the other package in the Depends, Suggests, or Imports lines of
>> DESCRIPTION file.  People will be able to use my package without
>> installing the other package.
>> However, "R CMD check" warns about "Missing link(s)" when it is
>>checking the 
>> cross references in the Rd files.
>> What is the preferred way to make this warning go away?
>Follow the 'Writing R Extensions' manual.  There is a 3-item bullet
>point in §1.1.1 following
>     'The general rules are'
>and your claims contradict the third point.
>> Thanks in advance,
>>    Kevin
>> ______________________________________________
>> R-devel at r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-devel
>Brian D. Ripley,                  ripley at stats.ox.ac.uk
>Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
>University of Oxford,             Tel:  +44 1865 272861 (self)
>1 South Parks Road,                     +44 1865 272866 (PA)
>Oxford OX1 3TG, UK                Fax:  +44 1865 272595

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