We are using gampl on a very large data set. It runs fine but no confidence intervals. We tried gam but it was too slow to run the models.
We must, if possible, find a way to confer the beta estimates in risk ratios and calculate confidence intervals using gampl. Does any one have a suggestion?
Would using gam in R work better for this?
We asked SAS Support and got the answer below.
"L'Beta would be a contrast of the model parameters. This is provided in parametric modeling procedures like REG, GLM, GENMOD, and others via the CONTRAST and ESTIMATE statements. Since GAMPL models do not have a pre-defined set of parameters, confidence intervals for such parameters and contrasts of parameters are not available." David Schlotzhauer
Thank you.