(Pov93)+(Pi94)+(Transfer94)+(Unemp96)+(Grants96),
family=binomial(link=logit), data=dat.pall)
summary(logreg)
##
Thanks,
mike
From: spencerg
Cc: r-help@r-project.org
Sent: Monday, May 18, 2009 8:28:56 AM
Su
I do not understand the term "mexval statistics".
I think you want to look for "anova.glm", fitting several models
leaving each term out one at a time in succession and then using
"anova.glm" to compare your general model with each submodel in
succession. If that does NOT give you
Greetings:
I would like to kindly ask help with obtaining mexval statistics (marginal
explanatory value - percentage increase in SEE if the variable were left out of
the regression model) for a logit (glm) model with several continuous
independent variables. I believe I can do it manually for e
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