Displaying 1 result from an estimated 1 matches for "ucbad".
2011 Feb 16
1
Saturated model in binomial glm
...makes sense if I fit the model using as response a vector of
proportions or a two-column matrix. But when the response is a factor
and counts are specified via the "weights" argument, I am kind of lost
as far as what is the implied saturated model.
Here is a simple example, based on the UCBAdmissions data.
> UCBAd <- as.data.frame(UCBAdmissions)
> UCBAd <- glm(Admit ~ Gender + Dept, family = binomial,
+ weights = Freq, data = UCBAd)
> UCBAd$deviance
[1] 5187.488
> UCBAd$df.residual
[1] 17
I can see that the data frame UCBAd has 24 rows and usi...