PROC LCA and PROC LTA are SAS procedures for latent class analysis (LCA) and latent transition analysis (LTA) developed by the Methodology Center. These straightforward procedures make it possible to pre-process data, fit a variety of latent class and latent transition models, and post-process the results without leaving the SAS environment.
Features include:
-Simple model specification
-Multiple-groups LCA and LTA
-LCA and LTA with covariates (prediction of latent class membership and transitions)
-Baseline-category multinomial logit model or binary logit model for prediction
-Posterior probabilities saved to SAS data file
-Parameter estimates saved to SAS data file
-Optional Bayesian stabilizing prior to handle sparseness issues in estimation
-Accounts for sampling weights and clusters
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