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 <dwinsem...@comcast.net> wrote: > > >> 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 > `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.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 >>>>> >>>>> ______________________________________________ >>>>> R-help@r-project.org <mailto:R-help@r-project.org> mailing list -- >>>>> To UNSUBSCRIBE and more, see >>>>> https://stat.ethz.ch/mailman/listinfo/r-help >>>>> <https://stat.ethz.ch/mailman/listinfo/r-help> >>>>> 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. >>>>> >>>>> >>>> >> >> [[alternative HTML version deleted]] >> >> ______________________________________________ >> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >> https://stat.ethz.ch/mailman/listinfo/r-help >> 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 > > ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.