[R] Calculating the probability for a logistic regression
jankee2010 at hotmail.com
Tue Nov 29 17:57:15 CET 2011
When we run the command : summary ( newmod<-gam(Dlq~ formula,family,,data) )
in R, the output would the effect of smoothness in R.
As of now to calculate the probability I am following the below approach:
1) Run the plot of the GAM , interpret the curves
2) Re Run the Regression as a GLM after taking into account the non linear
terms in step1
3) Calculate the probability from the coefficients obtained in step2, using
the appropriate link function
But I came across a paper by SAS (
http://support.sas.com/rnd/app/papers/gams.pdf ), Where the parameters
outputs are also given when the program is run.
So I was wondering if we have something similar in R also? I tried hard but
could not find anything.
View this message in context: http://r.789695.n4.nabble.com/Calculating-the-probability-for-a-logistic-regression-tp4119884p4119884.html
Sent from the R help mailing list archive at Nabble.com.
More information about the R-help