Hi,
I don't know if a pseudo squared R for glm exists in
any R package, but I find some interesting functions
in S mailing list:
http://www.math.yorku.ca/Who/Faculty/Monette/S-news/0422.html
Here are some functions for calculating (pseudo-)R^2,
which may be of use to some.
Rsquared -
Vito Ricci wrote:
Hi,
I don't know if a pseudo squared R for glm exists in
any R package, but I find some interesting functions
in S mailing list:
It is included in lrm in the Design package. But note that this is not
for checking fit but rather for quantifying predictive discrimination.
.
Joe Nocera wrote:
Helene -
In addition to some of the excellent suggestions already posited (e.g.
examining AIC,
pseudo R^2 in the Design package), you might want to consider another tool to
assess
logistic regression model accuracy: the area-under-curve (AUC) from a
receiver-operating
