Labo-Lacourse / stepmix

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.
https://stepmix.readthedocs.io/en/latest/index.html
MIT License
54 stars 4 forks source link

Review sampling #16

Closed sachaMorin closed 1 year ago

sachaMorin commented 1 year ago

The Bakk response simulation yields different results if we use the old data generating function (May 2022) and the current one (based on the StepMix sampling). Need to find where the sampling differs.