Hi. I'm looking to use a model with a random classification term and another fixed or random classification effect, using a model that natively or descriptively censors at zero (the distributional field is left-skewed). QLIM handles censoring and classification effects but not random effects, while NLMIXED handles censored models with random effects but not class variables. Does anyone have a rough idea or model for a system that covers censored dependent variables with random classification effects?
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