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.
PythonMIT
Stargazers
- acheulSeoul National University
- ajensen-exac
- Aricept094Iran
- aviyalitmanPrinceton University
- bbstatsGolden State Warriors
- cosgriffcMGH
- dgumenyukPolytechnique de Montréal
- drewwintUniversity of Colorado
- DWizzi
- ericlacourseUniversité de Montréal
- fountaindive
- godkingjaySorsogon State University
- Ianyliu
- JBarsottiUniversity of Iowa
- jf-godbout
- justinsavoie
- knaaptime@center-for-open-geographical-science
- leomignotBordeaux
- liam-hsieh
- lijiaxiang98China
- mcarondiotteUniversité de Montréal
- mese79
- MohamedEldafrawi2
- MostafaAbdelrashiedFreiburg, Germany
- NLPShenanigans
- peter159Ipsos Lead of Data Science
- pschummCTDS - University of Chicago
- robinlegaultMassachusetts Institute of Technology
- sachaMorinUniversité de Montréal, Mila
- sarasilvacunha
- sdahdahMcGill University
- tessadgreenKiraGen Bio
- tsryo
- VictorChabot
- yajiezAlibaba Group
- yuanyuan-lalala