Roland Deutsch <roland.deutsch <at> tuwien.ac.at> writes: > in my research I frequently work with binomial response models, which > are of course part of the generalized linear models. While I do use > common link functions such as the logit, probit and cloglog, I often > have the need of invoking the lesser-known Complementary Log link > (Walter W. Piegorsch, 1992, "Complementary Log Regression for > Generalized Linear Models ", The American Statistician , Vol. 46, No. 2, > pp. 94-99 ) which is based on the exponential distribution. > > Before the release of R 3.0, I simply could do so by adding the > following lines to the long switch command in make.link(...): > > clog = { > linkfun <- function(mu) qexp(mu) > linkinv <- function(eta) pmax(.Machine$double.eps,pexp(eta)) > mu.eta <- function(eta) pmax(dexp(eta), .Machine$double.eps) > valideta <- function(eta) all(eta > 0) > }, > > and then add "clog" to the okLinks vector in binomial(). However, I
I wouldn't mess with make.link. Why don't you just define your own custom link, for example following the example under help(family)? This is what I did in the psyphy package and I just checked and they all still work under the current version of R. > Thanks a lot, > Roland Deutsch -- Kenneth Knoblauch Inserm U846 Stem-cell and Brain Research Institute Department of Integrative Neurosciences 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.sbri.fr/members/kenneth-knoblauch.html ______________________________________________ R-help@r-project.org 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.