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.
Hi,
Since version 2.1.0, conditional probabilities are displayed based on the alphabetical order of the SM items.
Would it be possible to display models with items labelled in accordance with the sequence of database columns?
Thanks for considering,