Package: LUCIDus 2.2.1

Yinqi Zhao

LUCIDus: Latent Unknown Clustering Integrating Multi-View Data

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.

Authors:Yinqi Zhao [aut, cre], David Conti [ths], Jesse Goodrich [ctb], Cheng Peng [ctb]

LUCIDus_2.2.1.tar.gz
LUCIDus_2.2.1.zip(r-4.5)LUCIDus_2.2.1.zip(r-4.4)LUCIDus_2.2.1.zip(r-4.3)
LUCIDus_2.2.1.tgz(r-4.5-any)LUCIDus_2.2.1.tgz(r-4.4-any)LUCIDus_2.2.1.tgz(r-4.3-any)
LUCIDus_2.2.1.tar.gz(r-4.5-noble)LUCIDus_2.2.1.tar.gz(r-4.4-noble)
LUCIDus_2.2.1.tgz(r-4.4-emscripten)LUCIDus_2.2.1.tgz(r-4.3-emscripten)
LUCIDus.pdf |LUCIDus.html
LUCIDus/json (API)
NEWS

# Install 'LUCIDus' in R:
install.packages('LUCIDus', repos = c('https://uscbiostats.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/uscbiostats/lucidus/issues

Datasets:

On CRAN:

Conda:

4.98 score 7 stars 27 scripts 280 downloads 1 mentions 9 exports 52 dependencies

Last updated 2 years agofrom:a4d7aeaefa. Checks:3 OK, 6 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 21 2025
R-4.5-winNOTEMar 21 2025
R-4.5-macNOTEMar 21 2025
R-4.5-linuxNOTEMar 21 2025
R-4.4-winNOTEMar 21 2025
R-4.4-macNOTEMar 21 2025
R-4.4-linuxNOTEMar 21 2025
R-4.3-winOKMar 21 2025
R-4.3-macOKMar 21 2025

Exports:boot_lucidboot.lucidest_lucidest.lucidlucidplot_lucidpredict_lucidsummary_lucidtune_lucid

Dependencies:base64encbootbslibcachemclicodetoolscpp11crayondigestevaluatefastmapfontawesomeforeachfsglassoglmnetgluehighrhmshtmltoolshtmlwidgetsigraphiteratorsjquerylibjsonliteknitrlatticelifecyclemagrittrMatrixmclustmemoisemimemixnetworkD3nnetpkgconfigprettyunitsprogressR6rappdirsRcppRcppEigenrlangrmarkdownsassshapesurvivaltinytexvctrsxfunyaml

LUCIDus: an R package to implement integrative clustering

Rendered fromLUCIDus.Rmdusingknitr::rmarkdownon Mar 21 2025.

Last update: 2022-11-03
Started: 2022-11-01