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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.
Getting started
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Package details |
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| Author | Faustine Bousquet <faustine.bousquet@umontpellier.fr>, Sophie Lèbre <sophie.lebre@umontpellier.fr>, Christian Lavergne <christian.lavergne@umontpellier.fr> |
| Maintainer | Faustine Bousquet <faustine.bousquet@umontpellier.fr> |
| License | GPL-3 |
| Version | 1.0.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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