The Writing R Extensions manual says that Suggests is for packages which are required only for examples, which I believe matches Hadley's original question.
In the Bayesian case, it seems like including one prior's worth of data in the package but having the infrastructure designed so that other data can be swapped in would allow all the examples to run without tying the analysis to a signle prior. Just my $0.02 ~G On Sat, Dec 7, 2013 at 2:08 PM, Paul Gilbert <pgilbert...@gmail.com> wrote: > > > On 13-12-07 01:47 PM, Gabor Grothendieck wrote: > >> On Sat, Dec 7, 2013 at 1:35 PM, Paul Gilbert <pgilbert...@gmail.com> >> wrote: >> >>> >>> >>> On 13-12-07 12:19 PM, Gábor Csárdi wrote: >>> >>>> >>>> I don't know about this particular case, but in general it makes sense >>>> to rely on a data package. E.g. I am creating a package that does >>>> Bayesian inference for a particular problem, potentially relying on >>>> prior knowledge. I think it makes sense to put the data that is used >>>> to calculate the prior into another package, because it will be larger >>>> than the code, and it does not change that often. >>>> >>>> Gabor >>>> >>>> On Sat, Dec 7, 2013 at 11:51 AM, Paul Gilbert <pgilbert...@gmail.com> >>>> wrote: >>>> >>>>> >>>>> Would "Suggests" not work in this situation? I don't understand why you >>>>> would need Depends. In what sense do you rely on the data only package? >>>>> >>>>> >>> HW> Because I want someone who downloads the package to be able to run >>> HW> the examples without having to take additional action. >>> HW> >>> HW> Hadley >>> >>> I went through this myself, including thinking it was a nuisance for >>> users >>> to need to attach other packages to run examples. In the end I decided >>> it is >>> not so bad to be explicit about what package the example data comes >>> from, so >>> illustrate it in the examples. Users may not always want this data, and >>> other packages that build on yours probably do not want it. >>> >>> Even in the Bayesian inference case pointed out by Gábor, I am not >>> convinced. It means the prior knowledge base cannot be exchanged for >>> another >>> one. The package would be more general if it allowed the possibility of >>> attaching a different database of prior information. But this is clearly >>> a >>> more important case, since the code probably does not work without some >>> database. (There are a few other situations where something like >>> "RequireOneOf:" would be useful.) >>> >>> >> Requiring users to load packages which could be loaded automatically >> seems to go against ease of use. Its just one more thing that they >> have to remember to do. >> >> It really should be possible to write a "batteries included" package >> while leveraging off of other packages. >> >> Just to be clear, I distinguish the "batteries included" situation from > the "spare batteries included" situation. I think it should be possible to > automatically load everything that is really needed, that is why I think > the Bayesian database is a more important case. But it strikes me as bad to > attach everything that could ever possibly be wanted by a user. After all, > it would be possible to automatically attach all packages. Some packages > seemed to be headed in that direction before the new rules started to be > enforced. > > There is certainly a trade-off here between ease of use, not needing the > user to attach packages, and namespace conflicts, which will result in time > and difficulty debugging. For packages that no one ever uses in other > packages, there would be a tendency to lean toward ease of use. But as soon > as anyone starts building on top of a package with another one, I think > that avoiding potential conflicts will dominate. > > Paul > > > ______________________________________________ > R-devel@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-devel > -- Gabriel Becker Graduate Student Statistics Department University of California, Davis [[alternative HTML version deleted]]
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