Hi All,
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. ______________________________________________ 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.
