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Hello all, I am using AddHealth data to fit a cure, aka split population model using nltm. I am not sure how to account for the complex survey design - does anyone have any suggestions? Any help would be greatly appreciated! Sincerely, Sam

Hi, I am trying to fit a model with an ordered response variable (3 levels) and 13 predictor variables. The sample has complex survey design and I've used 'svydesign' command from the survey package to specify the sampling design. After reading the manual of 'svyglm' command, I've found that you can fit a logistic regression (binary response variable) by specifying the

...coeffs returned in wrong order TO DO: torture-test on some real problems! better documentation? e.g. ?profile.mle-class doesn't give details on arguments -- have to look at profile.nls (allow "which" to be a character vector -- match names)? HARDER: fancy formula interface [cf. svymle in survey package] e.g. mll <- mLL(type="independent",distrib="normal",resp=y,mean=~a+b*x,sd=~s, param=~a+b+s) allow for fitting of transformed parameters (exp/log, tanh/atanh = logistic/logit) 2D profiles (quadratic or thin-plate spline???) EASIER but breaking bac...