stepmix
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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...
Hi, I have recently conducted a series of experiments, I found it is tricky that the results changed when I shuffled the data (other settings same). I am curious that...
Hi, I recently run LCA with measurement = binary, the results show there were 13 classess in total, however, I found there were 6 (i.e., classes: 1,2,4,5,6,9) classes are exactly...
We have this in `scripts/run_real_example.py` but it includes a lot of boilerplate to reproduce all the tables from the paper. I suggest we design a simpler example (e.g., with only...
Users should be able to specify which parameters to start optimizing from. StepMix can already be provided with parameters (see examples in `datasets.py`), but we need to make sure they...
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...
Hello, It would be appreciated if some elements of the outputs could be changed, so that StepMix benefits from outputs similar to those found in other software and packages. Here...
Once again, thank you for the wonderful work. I hope to switch over to Stepmix from MPlus, but a few tests that my group uses to evaluate models with different...
Hi, Since version 2.1.0, conditional probabilities are displayed based on the alphabetical order of the SM items. Would it be possible to display models with items labelled in accordance with...
Current categorical model one-hot encodes integer data every time we call the E or M step in the optimisation loop. We could probably obtain a meaningful speedup if we cached...
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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...