A.R. Criswell [EMAIL PROTECTED] wrote:
Hello Andrew Robinson and R-List
Thanks, Andrew, but this does not work. Puttting zero weights on
structural zeros, one's elsewhere in glm() does not deliver the
appropriate expected cell counts loglm() provides as one would expect.
If you run the
Hello Andrew Robinson and R-List
Thanks, Andrew, but this does not work. Puttting zero weights on
structural zeros, one's elsewhere in glm() does not deliver the
appropriate expected cell counts loglm() provides as one would expect.
If you run the code provided below, you'll see loglm() delivers
Hello Andrew,
I'm not sure how this is a problem. You can multiply the fitted
values by the weights again, if you wish, or ignore the structural
zeros altogether. The other predicted values all seem to me to be the
same.
I think that is a feature. Sometimes the goal for glm with structural
Hello All R Users,
Function loglm() in library MASS can be cajoled to accomodate
structural zeros in a cross-classification table. An example from
Fienberg demonstrates how this can be done.
My question is: Can the function glm() perform the same task? Can
glm() estimate a log-linear model with
Hi Andrew,
try the weights argument - apply zero weight to the structural zeros,
and 1 elsewhere.
Cheers
Andrew
On Sun, Nov 26, 2006 at 11:39:39AM +0700, A.R. Criswell wrote:
Hello All R Users,
Function loglm() in library MASS can be cajoled to accomodate
structural zeros in a
