stepmixr
swMATH44872CRANstepmixrMaRDI QIDQ1334136
Interface to 'Python' Package 'StepMix'
Charles-Édouard Giguère, Sacha Morin, Éric Lacourse, Robin Legault, Roxane de la Sablonnière, Félix Laliberté
Last update: 9 January 2024
Copyright license: GNU General Public License, version 2.0
Software version identifier: 0.1.1, 0.1.0, 0.1.2
Source code repository: https://github.com/cran/stepmixr
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.
This page was built for software: stepmixr
