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.
The current description seems to to refer to the one hot encoding of the categorical variable. This is no longer required now that we support integer_codes.
The current description seems to to refer to the one hot encoding of the categorical variable. This is no longer required now that we support integer_codes.