[R] functions similar to glm

[Bruce Ratner PhD]

Dear David:
Thank you for your excellent reply. 
Apparently, you are a in the know. 
Again, thanks. 
Bruce

______________
Bruce Ratner PhD
The Significant Statistician™
(516) 791-3544
Statistical Predictive Analytics -- www.DMSTAT1.com
Machine-Learning Data Mining -- www.GenIQ.net



> On May 11, 2017, at 10:53 AM, David Winsemius <dwinsemius at comcast.net> wrote:
> 
> 
>> On May 11, 2017, at 6:31 AM, Bruce Ratner PhD <br at 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.4567 at 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" <br at 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" <br at dmstat1.com <mailto:br at 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
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>>>>>   <http://www.R-project.org/posting-guide.html>
>>>>>   and provide commented, minimal, self-contained, reproducible code.
>>>>> 
>>>>> 
>>>> 
>> 
>>    [[alternative HTML version deleted]]
>> 
>> ______________________________________________
>> R-help at 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
> 
>