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flexmix

Flexible Mixture Modeling

A general framework for finite mixtures of regression models using the EM algorithm is implemented. The E-step and all data handling are provided, while the M-step can be supplied by the user to easily define new models. Existing drivers implement mixtures of standard linear models, generalized linear models and model-based clustering.

Versions across snapshots

VersionRepositoryFileSize
2.3-20 rolling linux/jammy R-4.5 flexmix_2.3-20.tar.gz 1.6 MiB
2.3-20 rolling linux/noble R-4.5 flexmix_2.3-20.tar.gz 1.6 MiB
2.3-20 rolling source/ R- flexmix_2.3-20.tar.gz 1.1 MiB
2.3-20 latest linux/jammy R-4.5 flexmix_2.3-20.tar.gz 1.6 MiB
2.3-20 latest linux/noble R-4.5 flexmix_2.3-20.tar.gz 1.6 MiB
2.3-20 latest source/ R- flexmix_2.3-20.tar.gz 1.1 MiB
2.3-20 2026-04-26 source/ R- flexmix_2.3-20.tar.gz 1.1 MiB
2.3-20 2026-04-23 source/ R- flexmix_2.3-20.tar.gz 1.1 MiB
2.3-20 2026-04-09 windows/windows R-4.5 flexmix_2.3-20.zip 1.6 MiB
2.3-20 2025-04-20 source/ R- flexmix_2.3-20.tar.gz 1.1 MiB

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