search for: lrm1

...ght it would be best to be as complete as possible and to show the avenues I have explored. I'm trying to fit a linear model to data with a binary dependent variable (i.e. Target.ACC: accuracy of response) using lrm, and thought I would start from the most complex model (of which "sample1.lrm1" is a trimmed version). I got the error shown below. (sample1 is available at http://tinyurl.com/bwqq7ya) For info: > str(sample1) 'data.frame': 14022 obs. of 5 variables: $ Target.ACC : Factor w/ 2 levels "0","1": 2 2 2 2 2 2 2 2 2 2 ... $ Word.Order :...

I cannot seem to get the aic or extractaic call to work with multinomial logistic regression models. Here is what I am doing: library('Design') lrm1<-lrm(r1~p1) #where p1 is multinomial and r1 is binomial library('MASS') aic(lrm1) Error in if (fam %in% c("gaussian", "Gamma", "inverse.gaussian")) p <- p + : argument is of length zero also tried extract.aic and others to no avail I was able...