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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

Troubleshooting section #21

Open sachaMorin opened 1 year ago

sachaMorin commented 1 year ago

We should document common issues when estimating models in a specific doc section and suggest solutions. A good example is when running into division by 0 errors while fitting a continuous model due to homogeneous clusters.

sachaMorin commented 1 year ago

We should also detail what to do with convergence warnings.