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.

Date Created 2022-01-06 (2 years ago)

Commits 434 (last one about a month ago)

Stargazers 59 (0 this week)

Watchers 6 (0 this week)

Forks 4

License mit

Ranking

RepositoryStats indexes 585,880 repositories, of these Labo-Lacourse/stepmix is ranked #415,103 (29th percentile) for total stargazers, and #298,152 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #78,796/116,710.

Labo-Lacourse/stepmix is also tagged with popular topics, for these it's ranked: machine-learning (#6,159/7943), classification (#405/541)

Other Information

Labo-Lacourse/stepmix has Github issues enabled, there are 15 open issues and 43 closed issues.

There have been 11 releases, the latest one was published on 2024-02-15 (9 months ago)

Homepage URL: https://stepmix.readthedocs.io/en/latest/index.html

All Topics

lca clustering classification mixture-models machine-learning supervised-learning latent-class-analysis expectation-maximization

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

434 commits on the default branch (master) since jan '22

Yearly Commits

Commits to the default branch (master) per year

Issue History

Languages

The primary language is Python but there's also others...

updated: 2024-11-15 @ 09:35pm, id: 445236976 / R_kgDOGonG8A