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GitHub topics: latent-class-model

gsfeir/GBM-LCCM

Estimation of Gaussian Bernoulli Mixture - Latent Class Choice Models (GBM-LCCM) using the Expectation Maximization (EM) algorithm

Language: Jupyter Notebook - Size: 151 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 1

AnieBee/ClusterVAR

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.

Language: R - Size: 46.4 MB - Last synced at: 28 days ago - Pushed at: 5 months ago - Stars: 2 - Forks: 1

tmsalab/slcm

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>

Language: C++ - Size: 429 KB - Last synced at: 17 days ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0