[R] functions similar to glm

[David Winsemius]

> 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 `myttingfunction`, as long as
 1. The function receives a model specication 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 veried, 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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>>>> 
>>>> 
>>> 
> 
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David Winsemius
Alameda, CA, USA