Well, you can just check directly, ?family,
but it doesn't look like it. It looks to me (and I am admittedly no expert) as if make.link is only returning the standard glm links. In ?make.link, it says, link character or numeric; one of "logit", "probit", "cloglog", "identity", "log", "sqrt", "1/mu^2", "inverse", or (deprecated) a non-negative number, say lambda resulting in power link mu ^ lambda. Also (deprecated) a string like "power(0.5)" to indicate a call to power. But the example from ?family, is a user-specified link of class "link-glm" that in the example is given directly to binomial(). For my own work, I have written two links for the binomial family, in this manner (i.e., thanks to this extension of R from the developers) for dealing with cases when the response probability is expected to have a lower asymptote other than 0 (for example, if an observer is making a decision among 4 choices). It seems to work and I didn't have to use make.link or re-define the family. I was motivated to try this from this thread: https://www.stat.math.ethz.ch/pipermail/r-help/2006-December/122353.html ken Douglas Bates a écrit : > Was make.link() used in the example code? > > On 2/11/07, Ken Knoblauch <[EMAIL PROTECTED]> wrote: >> >> Isn't it the case, that since R 2.40 that all one ought to need do is >> define one's own link and pass it to the family, rather re-defining the >> whole >> family? >> >> CHANGES IN R VERSION 2.4.0 >> >> ... >> >> o make.link() now returns an object of class "link-glm". >> The GLM families accept an object of this class for their >> 'link' argument, which allows user-specified link functions. >> Also, quasi() allows user-specified variance functions. >> >> I thought that was the point of the example on the family help page. >> >> ken >> >> >> Douglas Bates a écrit : >> Look at the 'link' component of the two lists. In the binomial family >> object the link component is a character vector of link 1. In your >> logexposure family object it is a list of length 5. >> >> On 2/10/07, Jessi Brown <jessilbrown at gmail.com> wrote: >> > Ok, I've tried checking out the structure of the binomial and >> > logexposure families, the big difference appears to be the valideta >> > parameter (it's "NULL" in the logexposure family). >> > >> -- >> Ken Knoblauch >> Inserm U846 >> Institut Cellule Souche et Cerveau >> Département Neurosciences Intégratives >> 18 avenue du Doyen Lépine >> 69500 Bron >> France >> tel: +33 (0)4 72 91 34 77 >> fax: +33 (0)4 72 91 34 61 >> portable: +33 (0)6 84 10 64 10 >> http://www.lyon.inserm.fr/371/ >> >> > -- Ken Knoblauch Inserm U846 Institut Cellule Souche et Cerveau Département Neurosciences Intégratives 18 avenue du Doyen Lépine 69500 Bron France tel: +33 (0)4 72 91 34 77 fax: +33 (0)4 72 91 34 61 portable: +33 (0)6 84 10 64 10 http://www.lyon.inserm.fr/371/ ______________________________________________ R-help@stat.math.ethz.ch mailing list 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.