estimating a latent class model allowing for heterogeneous decision rules by EM algorithm
Posted: 09 Apr 2024, 11:22
Hi,
I tried to estimate a model descripted topic. in my model, there are two classes with different decision rules, which means that there are different parameters to estimate across classes. but, according to the examples of EM algorithm in Apollo, all parameters need to vary across classes and as elements in the function of lcpars(). therefore, I want to ask if there are some method to allow I estimate my model.
kind regards,
Qiang
I tried to estimate a model descripted topic. in my model, there are two classes with different decision rules, which means that there are different parameters to estimate across classes. but, according to the examples of EM algorithm in Apollo, all parameters need to vary across classes and as elements in the function of lcpars(). therefore, I want to ask if there are some method to allow I estimate my model.
kind regards,
Qiang