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
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estimating a latent class model allowing for heterogeneous decision rules by EM algorithm
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stephanehess
- Site Admin
- Posts: 1002
- Joined: 24 Apr 2020, 16:29
Re: estimating a latent class model allowing for heterogeneous decision rules by EM algorithm
Qiang
I suggest that for this model, you use apollo_estimate as the EM implementation is at present likely not suitable for it
Stephane
I suggest that for this model, you use apollo_estimate as the EM implementation is at present likely not suitable for it
Stephane