> On May 11, 2017, at 6:31 AM, Bruce Ratner PhD <b...@dmstat1.com> wrote:
>
> Bert:
> Not clear to me.
> Where mentioned are the functions similar to glm, if you please?
The basis for the similarity was stated as having an available link function
(and I suspected, an inverse as well.) I, for one, wouldn't have been surprised
if `lm` were not in the list because `glm` with a 'gaussian' link would provide
the same capabilities. I read the basis as stating that a family-object be
available (an object with the features described on the `?family` page. If I
were correct, then running `methods(family)` would provide a list of the family
objects that are available for loaded packages:
> methods("family")
[1] family.glm* family.lm* family.negbin*
see '?methods' for accessing help and source code
So lm would qualify as well.
> require(lme4)
Loading required package: lme4
Loading required package: Matrix
> methods("family")
[1] family.glm* family.glmResp* family.lm* family.lmResp*
family.merMod*
[6] family.negbin* family.nlsResp*
see '?methods' for accessing help and source code
Following Bert's advice (and so reading the manual for you), I find that
Vincent Calcagno has stated the criterion somewhat differently in "Using
glmulti with any type of statistical model, with examples."
#--------
glmulti works outof-the-box with several types of function (such as lm, glm or
coxph), but it can in principle be used with any such function
`my ttingfunction`, as long as
1. The function receives a model speci cation in the form of a formula;
2. The function ts the model by maximum likelihood, which can be accessed
through the standard `LogLik` function;
Even when the two conditions above are veri ed, complications arise because,
unfortunately, dierent tting functions have dierent conventions regarding
how characteristics of the t should be accessed. Indeed, most of them come
from dierent packages with dierent authors and there is no common standard so
far.
#--------
--
David
> Bruce
>
> ______________
>
>
>
>
>> On May 11, 2017, at 8:39 AM, Bert Gunter <bgunter.4...@gmail.com> wrote:
>>
>> ?glmulti seems clear enough to me. If not, pls check the reference given
>> therein.
>>
>> Bert
>>
>>> On May 11, 2017 5:22 AM, "BR_email" <b...@dmstat1.com> wrote:
>>> Thanks, Bert. I would expect the list to include, at least lm. The
>>> reference states, "See Examples section."
>>> But, there is nothing in that section or elsewhere!!
>>> Bruce
>>>
>>> Bert Gunter wrote:
>>>> Probably? :
>>>>
>>>> All functions for which a link function of the response is modeled as a
>>>> linear predictor of the covariates, but the response need not be in the
>>>> exponential family? Such a list of course cannot be "listed". I would
>>>> expect the package documentation, especially vignettes, explains this in
>>>> any case. Pls check.
>>>>
>>>> Hopefully, you'll get a more authoritative response if I'm wrong.
>>>>
>>>> Bert
>>>>
>>>>
>>>>
>>>>
>>>>
>>>>
>>>>
>>>> On May 11, 2017 4:15 AM, "Bruce Ratner PhD" <b...@dmstat1.com
>>>> <mailto:b...@dmstat1.com>> wrote:
>>>>
>>>> R-helpers:
>>>> In the "glmulti" package, it states parameter fitfunction assumes
>>>> functions similar to glm, but doesn't list them.
>>>> What are the functions similar to glm that can be used with glmulti?
>>>> Bruce
>>>>
>>>> ______________________________________________
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>>>> PLEASE do read the posting guide
>>>> http://www.R-project.org/posting-guide.html
>>>> <http://www.R-project.org/posting-guide.html>
>>>> and provide commented, minimal, self-contained, reproducible code.
>>>>
>>>>
>>>
>
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>
> ______________________________________________
> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
David Winsemius
Alameda, CA, USA
______________________________________________
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