Bert: Not clear to me. Where mentioned are the functions similar to glm, if you please? 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.
