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) ). 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 Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libuv1-dev libxml2-dev Repository: https://uscbiostats.r-universe.dev Date/Publication: 2026-04-07 17:30:04 UTC RemoteUrl: https://github.com/uscbiostats/lucidus RemoteRef: HEAD RemoteSha: 44a42cf8de49174ffeb2a20da6de08505072b841 NeedsCompilation: no Packaged: 2026-06-06 06:22:00 UTC; root Author: Yinqi Zhao [aut, cre] (ORCID: ), David Conti [ths] (ORCID: ), Jesse Goodrich [ctb] (ORCID: ), Cheng Peng [ctb] Maintainer: Yinqi Zhao