I've computed a loglinear model on a categorical dataset.  I would like to
test whether an interaction can be dropped by comparing the log-likelihoods
from two models(the model with the interaction vs. the model without). 
Since R does not immediately print the log-likelihood when I use the "glm"
function, I used SAS initially.  After searching for an extracting function,
I found one in R.  But, the log-likelihood given by SAS is different from
the one given by R.  I'm not sure if the "logLik" function in R is giving me
something I don't want.  Or if I'm misinterpreting the SAS output.  Can
anyone help?
-- 
View this message in context: 
http://www.nabble.com/Log-likelihood-function-tf3678882.html#a10280717
Sent from the R help mailing list archive at Nabble.com.

______________________________________________
R-help@stat.math.ethz.ch 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.

Reply via email to