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LUCIDus

LUCID with Multiple Omics Data

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>.

Versions across snapshots

VersionRepositoryFileSize
3.1.0 rolling linux/jammy R-4.5 LUCIDus_3.1.0.tar.gz 870.3 KiB
3.1.0 rolling linux/noble R-4.5 LUCIDus_3.1.0.tar.gz 870.4 KiB
3.1.0 rolling source/ R- LUCIDus_3.1.0.tar.gz 549.3 KiB
3.1.0 latest linux/jammy R-4.5 LUCIDus_3.1.0.tar.gz 870.3 KiB
3.1.0 latest linux/noble R-4.5 LUCIDus_3.1.0.tar.gz 870.4 KiB
3.1.0 latest source/ R- LUCIDus_3.1.0.tar.gz 549.3 KiB
3.1.0 2026-04-26 source/ R- LUCIDus_3.1.0.tar.gz 549.3 KiB
3.1.0 2026-04-23 source/ R- LUCIDus_3.1.0.tar.gz 549.3 KiB
3.1.0 2026-04-09 windows/windows R-4.5 LUCIDus_3.1.0.zip 873.3 KiB
3.0.3 2025-04-20 source/ R- LUCIDus_3.0.3.tar.gz 502.5 KiB

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