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LUCIDus

3.1.0

LUCID with Multiple Omics Data

1packages depend
4.5Kdownloads / year
0.0%test coverage
13/13checks pass

Overview

About
Maintained by Qiran JiaFirst published 2018-12-2114 releasesCRAN page ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 2.8 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.60
0.0%
Coverage · measured lines
100%
Documentation · exports
10
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-05-10
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • WARNING2026-05-09
    12 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
38%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

4.5K
CRAN downloads in the past year
Rank #6,394 · ~12/day · ~377/mo
Daily download trend is not available in this view yet.
25930 days
1.3K90 days
4.5K1 year
Compare downloads with other packages →
Also on138 r2u16 autocran25 c2d4u

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.6.0
Imports (10)
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
1direct
0indirect

Code & Tests

People & History

People (4)
Maintainer (1)
Author, Maintainer · added in 3.0.1
Authors (2)
Author, Maintainer · added in 3.0.1
Author · added in 2.0.0
Contributors (1)
Contributor · added in 2.2.1
Other (1)
Thesis advisor · added in 2.2.1
Listed in earlier versions (3)
no longer listed · 0.9.0 to 2.2
no longer listed · 0.9.0 to 2.2.1
no longer listed · 0.9.0 to 2.2
Package Timeline

14 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 3.1.0Latest
    2026-03-11 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 3.0.3
    2024-09-23 · diff ↗
  • 3.0.2
    2024-07-08 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 3.0.1
    2023-10-31 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 2.2.1
    2022-11-08 · diff ↗
  • 2.2
    2022-08-08 · diff ↗
  • 2.1.5-2
    2022-06-01 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 2.1.5-1
    2022-04-06 · diff ↗
  • 2.1.5
    2022-03-28 · diff ↗
  • 2.1.4
    2022-03-03 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
Show 7 earlier events
  • 2.1.0
    2020-07-22 · diff ↗
  • 2.0.0
    2020-05-18 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 1.0.0
    2019-12-02 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 0.9.0
    2018-12-21
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2018-12-21
Total releases
14 / 8 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.6.0
Bundled data
451 KB / 2 files
Download size
552 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("LUCIDus")
Jia, Q., Conti, D., Goodrich, J., & Zhao, Y. (2026). LUCIDus: LUCID with Multiple Omics Data (Version 3.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.LUCIDus

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for LUCIDus version 3.1.0 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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