Hi: Did you try putting the offset in the model formula, as in
bigglm( y ~ offset(z) + x, ...) ? I haven't tried bigglm() personally (BTW, it's in the biglm package, which wasn't mentioned), but this syntax works in the standard glm() function, so perhaps it maps to bigglm() as well... (?) HTH, Dennis On Tue, Feb 8, 2011 at 6:16 AM, Richard Jacques <r.jacq...@sheffield.ac.uk>wrote: > Dear all, > > I have a large data set and would like to fit a logistic regression model > using the bigglm function. I need to include an offset in the model but > when I do this the bigglm function seems to ignore it. > > For example, running the two models below produces the same model and the > offset is ignored > > bigglm(y~x,offset=z,data=Test,family=binomial(link = "logit")) > bigglm(y~x,data=Test,family=binomial(link = "logit")) > > Is it possible to fit an offset using bigglm? And if so, what am I doing > wrong? > > Thanks, > > Richard > > -- > Dr Richard Jacques > Medical Statistics Group > School of Health and Related Research > University of Sheffield > Regent Court > 30 Regent Street > SHEFFIELD > S1 4DA > > ______________________________________________ > 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. > [[alternative HTML version deleted]] ______________________________________________ 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.
