LUCID with Multiple Omics Data R package LUCIDus version 3.1.0 CRAN Task View: MissingData (https://CRAN.R-project.org/view=MissingData) CRAN Task View: Omics (https://CRAN.R-project.org/view=Omics) Implements Latent Unknown Clusters By Integrating Multi-omics Data (LUCID; Peng (2019) <doi:10.1093/bioinformatics/btz667>) for integrative clustering with exposures, multi-omics data, and health outcomes. Supports three integration strategies: early, parallel, and serial. Provides model fitting and tuning, lasso-type regularization for exposure and omics feature selection, handling of missing data, including both sporadic and complete-case patterns, prediction, and g-computation for estimating causal effects of exposures, bootstrap inference for uncertainty estimation, and S3 summary and plot methods. For the multi-omics integration framework, see Jia (2024) <https://journal.r-project.org/articles/RJ-2024-012/RJ-2024-012.pdf>. For the missing-data imputation mechanism, see Jia (2024) <doi:10.1093/bioadv/vbae123>. Software Depends: R (>= 3.6.0) Imports: mclust, nnet, boot, jsonlite, networkD3, progress, stats, utils, glasso, glmnet Suggests: testthat (>= 3.0.0) Qiran Jia <qiranjia@usc.edu> Comprehensive R Archive Network (CRAN) Qiran Jia [aut, cre] (ORCID: <https://orcid.org/0000-0002-0790-5967>), Yinqi Zhao [aut] (ORCID: <https://orcid.org/0000-0003-2413-732X>), David Conti [ths] (ORCID: <https://orcid.org/0000-0002-2941-7833>), Jesse Goodrich [ctb] (ORCID: <https://orcid.org/0000-0001-6615-0472>) MIT + file LICENSE (https://CRAN.R-project.org/package=LUCIDus/LICENSE) 2026-03-11 application/tgz https://CRAN.R-project.org/package=LUCIDus doi:10.32614/CRAN.package.LUCIDus