binomialMix: Mixture Models for Binomial and Longitudinal Data

Provides a clustering method of non-gaussian longitudinal data with a mixture of generalized linear models. The longitudinal data should be defined as repeated observations for each individual. The number of observations for each individual can be different. In runEM(), an expectation-maximization algorithm is developed for both binomial and longitudinal data mixture model.

Package details

AuthorFaustine Bousquet <>, Sophie Lèbre <>, Christian Lavergne <>
MaintainerFaustine Bousquet <>
Package repositoryView on CRAN
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binomialMix documentation built on March 23, 2020, 5:09 p.m.