Estimation of Gaussian Process - Latent Class Choice Models (GP-LCCM) using the Expectation Maximization (EM) algorithm
Estimation of Gaussian Bernoulli Mixture - Latent Class Choice Models (GBM-LCCM) using the Expectation Maximization (EM) algorithm
Perform a Bayesian estimation of the exploratory Sparse Latent Class Model for Binary Data described by Chen, Y., Culpepper, S. A., and Liang, F. (2020) <https://doi.org/10.1007/s11336-019-09693-2>
Estimates latent class vector-autoregressive models via EM algorithm on time-series data for model-based clustering and classification. Includes model selection criteria for selecting the number of lags and clusters.
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