Package: LUCIDus
Type: Package
Title: Latent Unknown Clustering with Integrated Data
Version: 2.1.0
Author: Yinqi Zhao, David V. Conti, Cheng Peng, Zhao Yang
Maintainer: Yinqi Zhao <yinqiz@usc.edu>
Description: An implementation for the 'LUCID' model (Peng (2019) <doi:10.1093/bioinformatics/btz667>) 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 L1 regularization method.
Depends: R (>= 3.6.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
URL: https://github.com/Yinqi93/LUCIDus
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Imports: mclust, nnet, networkD3, parallel, boot, lbfgs, glasso, glmnet
NeedsCompilation: no
Packaged: 2020-07-22 07:24:45 UTC; zhaoink
Repository: CRAN
Date/Publication: 2020-07-22 08:00:03 UTC
Built: R 4.0.2; ; 2020-08-02 12:39:21 UTC; windows
