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.
| Version: | 0.9.0 |
| Depends: | R (≥ 3.1.0) |
| Imports: | mvtnorm, nnet, glmnet, glasso, Matrix, lbfgs, stats, methods, networkD3, foreach, doParallel |
| Suggests: | testthat, knitr, rmarkdown |
| Published: | 2018-12-21 |
| Author: | Cheng Peng, Zhao Yang, David V. Conti |
| Maintainer: | Cheng Peng <chengpen at usc.edu> |
| License: | GPL-2 |
| URL: | https://github.com/USCbiostats/LUCIDus |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | LUCIDus results |
| Reference manual: | LUCIDus.pdf |
| Vignettes: |
LUCIDus |
| Package source: | LUCIDus_0.9.0.tar.gz |
| Windows binaries: | r-devel: LUCIDus_0.9.0.zip, r-devel-gcc8: LUCIDus_0.9.0.zip, r-release: LUCIDus_0.9.0.zip, r-oldrel: LUCIDus_0.9.0.zip |
| OS X binaries: | r-release: LUCIDus_0.9.0.tgz, r-oldrel: LUCIDus_0.9.0.tgz |
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