stepmixr - Interface to 'Python' Package 'StepMix'
This is an interface for the 'Python' package 'StepMix'.
It is 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 based on
pseudolikelihood theory. Additional features include support
for covariates and distal outcomes, various simulation
utilities, and non-parametric bootstrapping, which allows
inference in semi-supervised and unsupervised settings.
