[Rd] proposed simulate.glm method

[Nicholas Lewin-Koh]

Hi,
Well, my question wasn't that clear :-), but yes you mostly answered it.
I guess
the one case I would be concerned is in Heather's code, where the
distribution
to simulate from is chosen, that seemed to be hard coded. So if 
I built a family object, say for a model that assumes errors from a zipf
distribution,
and I did have a predict method (which is a fair assumption) would that
fail because the rzipf function would not be accessed?

Nicholas 
On Sat, 14 Feb 2009 20:10:26 +0100, "Martin Maechler"
<maechler at stat.math.ethz.ch> said:
> >>>>> "NicLK" == Nicholas Lewin-Koh <nikko at hailmail.net>
> >>>>>     on Sat, 14 Feb 2009 08:34:45 -0800 writes:
> 
>     NicLK> Hi, For extended glms such as gams, gnm or other
>     NicLK> distributions such as negative binomial, would there
>     NicLK> need to be a separate simulate method?  
> 
> Not necessarily,  as I said, the "glm"s are now also dealt with
> in simulate.lm() and Heather more or less confirmed that this
> gives correct results for "gnm" objects.
> 
> For gam(), I'd strongly expect the same to apply, but there
> maybe sophisticated gam() models where the result is currently
> not correct.  That's, BTW, also true for  
>     simulate(lm(...., weights), ...)
> 
>     NicLK>  Or, could the current framework, rather than
>     NicLK> stopping with an error look for the appropriate model
>     NicLK> matrix, coefficients, distribution function and
>     NicLK> family object to simulate from?
> 
> What do you mean?
> A situation where there's no supported 'family'
> or a situation where  predict(<obj>) does not work as it's
> supposed in the current framework,
> or ????
> 
> If there are such cases, we'd have to consider them together
> with the corresponding package author.  It may often make sense
> fthen that the author changes his methods {predict(), ..} such
> that the (now) extended simulate.lm() will work automatically;
> Alternatively, the author can provide  simulate.<myclass>().
> 
> But I'm not sure I'm answering the question you've asked..
> Martin
> 
>     NicLK> Nicholas
> 
> 
>     >> Message: 9 Date: Fri, 13 Feb 2009 21:27:57 +0100 From:
>     >> Martin Maechler <maechler at stat.math.ethz.ch> Subject: Re:
>     >> [Rd] proposed simulate.glm method To: Heather Turner
>     >> <Heather.Turner at warwick.ac.uk> Cc: r-devel at r-project.org,
>     >> Martin Maechler <maechler at stat.math.ethz.ch> Message-ID:
>     >> <18837.55245.15158.29378 at cmath-5.math.ethz.ch>
>     >> Content-Type: text/plain; charset=us-ascii
>     >> 
>     >> Thank you, Heather and Ben,
>     >> 
>     >> >>>>> "HT" == Heather Turner
>     >> <Heather.Turner at warwick.ac.uk> >>>>> on Fri, 13 Feb 2009
>     >> 15:52:37 +0000 writes:
>     >> 
>     HT> Yes, thanks to Ben for getting the ball rolling. His
>     HT> code was more streamlined than mine, pointing to further
>     HT> simplifications which I've included in the extended
>     HT> version below.
>     >> 
>     HT> The code for the additional families uses functions from
>     HT> MASS and SuppDists - I wasn't sure about the best way to
>     HT> do this, so have just used :: for now.
>     >> 
>     HT> It appears to be working happily for both glm and gnm
>     HT> objects (no gnm-specific code used).
>     >> 
>     HT> Best wishes,
>     >> 
>     HT> Heather
>     >> 
>     >> [....]
>     >> 
>     >> I have now followed Brian Ripley's suggetion to just
>     >> extend simulate.lm() to also deal with "glm" objects, but
>     >> using Heather's suggestions for the different families;
>     >> I've just commited src/library/stats/R/lm.R with the new
>     >> code.  (get it from svn.r-project.org/R/trunk/ or this
>     >> night's R-devel tarball).
>     >> 
>     >> One difference to your propsal: Instead of just
>     >> object$fitted , the code is using fitted(object)
>     >> ... something which should properly to the na.action
>     >> used.
>     >> 
>     >> For the (MASS and) SuppDists package requirement, I'm
>     >> using the following
>     >> 
>     >> if(is.null(tryCatch(loadNamespace("SuppDists"), error =
>     >> function(e) NULL))) stop("Need CRAN package 'SuppDists'
>     >> for 'inverse.gaussian' family")
>     >> 
>     >> 
>     >> I've not yet updated the help page for simulate(), and
>     >> have only tested relatively few cases for binomial,
>     >> poisson and Gamma.  I've wanted to expose this to you, so
>     >> you can provide more feedback and possibly even a patch
>     >> to
>     >> svn.r-project.org/R/trunk/src/library/stats/man/simulate.Rd
>     >> 
>     >> Martin
>     >> 
>     >> 
>     >> 
> 
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