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LUCIDus: Latent Unknown Clustering with Integrated Data
An implementation for the 'LUCID' method to jointly estimate latent unknown clusters/subgroups with integrated data. An EM algorithm is used to obtain the latent cluster assignment and model parameter estimates. Feature selection is achieved by applying the regularization method.
Getting started
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Package details |
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| Author | Cheng Peng, Zhao Yang, David V. Conti |
| Maintainer | Cheng Peng <[email protected]> |
| License | GPL-2 |
| Version | 0.9.0 |
| URL | https://github.com/USCbiostats/LUCIDus |
| Package repository | View on CRAN |
| Installation |
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