DESCRIPTION

Package: LUCIDus
Type: Package
Title: Latent Unknown Clustering Integrating Multi-View Data
Version: 2.2.1
Authors@R: c(
    person(given = "Yinqi", family = "Zhao", 
           email = "yinqiz@usc.edu", 
           role = c("aut", "cre"),
           comment = c(ORCID = "0000-0003-2413-732X")),
    person(given = "David", family = "Conti", 
           email = "dconti@usc.med.edu", role = "ths",
           comment = c(ORCID = "0000-0002-2941-7833")),
    person(given = "Jesse", family = "Goodrich", 
           role = "ctb",
           comment = c(ORCID = "0000-0001-6615-0472")),
    person(given = "Cheng", family = "Peng", role = "ctb")
  )
Description: An implementation of the LUCID model (Peng (2019) <doi:10.1093/bioinformatics/btz667>).
  LUCID conducts integrated clustering using exposures, omics data (and outcome 
  as an option). An EM algorithm is implemented to estimate MLE of the LUCID model.
  'LUCIDus' features integrated variable selection, incorporation of missing omics
  data, bootstrap inference, prediction and visualization of the model.
Depends: R (>= 3.6.0)
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.2.1
LazyData: true
URL: https://github.com/USCbiostats/LUCIDus
BugReports: https://github.com/USCbiostats/LUCIDus/issues
Suggests: 
    knitr,
    testthat (>= 3.0.0),
    rmarkdown
VignetteBuilder: knitr
Config/testthat/edition: 3
Imports: 
    boot,
    glasso,
    glmnet,
    jsonlite,
    mclust,
    mix,
    networkD3,
    nnet,
    progress