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.
active 2023-08-15 → 2026-05-04 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 994 days from 2023-08-15 to 2026-05-04. Pushes: 64 total, peak 9 in a day. Pull requests: 4 total, peak 2 in a day. Issues: 35 total, peak 3 in a day. Comments: 70 total, peak 10 in a day. Stars: 48 total, peak 2 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| sachaMorin | 115 | 59 | 3 | 38 |
| FelixLaliberte | 15 | 5 | 1 | 6 |
| jaanisfehling | 9 | 0 | 0 | 5 |
| yuanjames | 8 | 0 | 0 | 5 |
| mohrezazali | 8 | 0 | 0 | 5 |
| imessien | 4 | 0 | 0 | 3 |
| huentelb | 3 | 0 | 0 | 2 |
| tsryo | 3 | 0 | 0 | 1 |
| JacobElder | 3 | 0 | 0 | 1 |
| U-R-dev | 2 | 0 | 0 | 1 |
| peter159 | 2 | 0 | 0 | 1 |
| mo-arvan | 1 | 0 | 0 | 1 |
| travis-leith | 1 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#73mo-arvan2026-03-24 16:23Support scikit-learn 1.6+ by replacing removed private APIs
- Issue comment#70sachaMorin2025-08-18 19:19Are concomitant variable models for prior probabilities supported?
- Issue comment#70travis-leith2025-08-15 11:29Are concomitant variable models for prior probabilities supported?
- Issue comment#70sachaMorin2025-08-13 19:16Are concomitant variable models for prior probabilities supported?
- Issue comment#69tsryo2024-11-20 09:18Support for Time-to-event structural model?
- Issue comment#69FelixLaliberte2024-11-15 18:30Support for Time-to-event structural model?
- Issue comment#65sachaMorin2024-11-14 15:05Error should be more explicit when diverging
- Issue comment#68sachaMorin2024-11-14 14:59ValueError: array must not contain infs or NaNs
- Issue#69tsryo2024-11-14 10:17Support for Time-to-event structural model?
- Issue#68tsryo2024-11-14 10:09ValueError: array must not contain infs or NaNs
- Issue comment#67huentelb2024-10-22 11:51Predicted Probabilities and Marginal Effects from structural models?
- Issue comment#67huentelb2024-10-21 17:45Predicted Probabilities and Marginal Effects from structural models?
- Issue comment#67FelixLaliberte2024-10-21 16:18Predicted Probabilities and Marginal Effects from structural models?
- Issue#67huentelb2024-10-21 15:46Predicted Probabilities and Marginal Effects from structural models?
- Issue comment#62imessien2024-10-11 14:56Does Step Mix Work with Time Series Data?
- Issue comment#62sachaMorin2024-10-10 22:22Does Step Mix Work with Time Series Data?
- Issue comment#62FelixLaliberte2024-10-10 22:00Does Step Mix Work with Time Series Data?
- Issue comment#62imessien2024-10-09 23:14Does Step Mix Work with Time Series Data?
- Issue comment#65jaanisfehling2024-10-09 23:07ValueError: pvals < 0, pvals > 1 or pvals contains NaNs
- Pull request#66sachaMorin2024-10-08 22:21
- Pull request#66sachaMorin2024-10-08 22:20
- Issue comment#65jaanisfehling2024-09-25 22:38ValueError: pvals < 0, pvals > 1 or pvals contains NaNs
- Issue#65jaanisfehling2024-09-25 21:45ValueError: pvals < 0, pvals > 1 or pvals contains NaNs
- Issue comment#61sachaMorin2024-09-20 14:09LCA - Data order
- Issue#61sachaMorin2024-09-20 14:09LCA - Data order
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 48 stars here means stars gained during the window, not the repo's star count.