Testing Six Subsequent Latent Class Analysis Models.
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https://figshare.com/articles/dataset/_Testing_Six_Subsequent_Latent_Class_Analysis_Models_/1238045
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* Information criteria evaluating the quality of latent class solution: L2 - The likelihood-ratio goodness-of-fit, BIC (Bayes Information Criterion), AWE (Approximate Weight of Evidence, similar to BIC but also takes classification performance into account), CAIC (Corrected Akaike Information Criterion).
Testing Six Subsequent Latent Class Analysis Models.
创建时间：
2014-11-12
