A Python package following the scikit-learn API for model-based clustering and generalized mixture modeling (latent class/profile analysis) of continuous and categorical data. StepMix handles missing values through Full Information Maximum Likelihood (FIML) and provides multiple stepwise Expectation-Maximization (EM) estimation methods.
machine-learning
clustering
supervised-learning
classification
expectation-maximization
lca
mixture-models
latent-class-analysis
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Updated
May 6, 2024 - Python