Hello,
I was looking for a way to evaluate the goodness-of-fit of a logistic
regression model. After googling, I found that I could use "resid(fit, 'gof')"
method implemented in the rms package. However, since I am not used to the "le
Cessie-van Houwelingen normal test statistic," I do not know which statistic
from the returned from the "resid(fit, 'gof')" call that I could use to
evaluate the goodness of fit.
When I ran the "resid(fit, 'gof')", I got the following results:
##############################################
Sum of squared errors Expected value|H0 SD
6844.684594 6805.672315 2.790969
Z P
13.978043 0.000000
##############################################
I tried to read the le Cessie and van Houwelingen's original paper, but I found
that it required prerequisite knowledge I don't current have.
Could someone explain how to interpret the results from "resid(fit, 'gof')
call?
Any help would be much appreciated.
Young-Jin Lee
______________________________________________
R-help@r-project.org 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.
