Package: LUCIDus
Type: Package
Title: Latent Unknown Clustering with Integrated Data
Version: 2.1.5-1
Author: Yinqi Zhao, David V. Conti, Cheng Peng, Zhao Yang
Maintainer: Yinqi Zhao <yinqiz@usc.edu>
Description: An implementation of LUCID model (Peng (2019) <doi:10.1093/bioinformatics/btz667>).
  LUCID conducts integrated clustering using exposures, omics data (and outcome 
  of interest). An EM algorithm is implemented to estimate MLE of LUCID model.
  LUCID features integrated variable selection, incorporation of missing omics
  data, bootstrap inference and visualization via Sankey diagram.
Depends: R (>= 3.6.0)
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.1.2
LazyData: true
URL: https://github.com/USCbiostats/LUCIDus
Suggests: knitr, testthat (>= 3.0.0), rmarkdown
VignetteBuilder: knitr
Imports: mclust, nnet, networkD3, boot, glasso, glmnet, jsonlite,
        progress
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2022-04-06 06:47:22 UTC; yinqiz
Repository: CRAN
Date/Publication: 2022-04-06 10:32:30 UTC
Built: R 4.0.5; ; 2022-04-21 09:42:48 UTC; windows
