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:
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-4.4-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
- helix_data - HELIX data
- sim_data - A simulated dataset for LUCID
Last updated 2 years agofrom:a4d7aeaefa. Checks:OK: 3 NOTE: 4. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 21 2024 |
| R-4.5-win | NOTE | Nov 21 2024 |
| R-4.5-linux | NOTE | Nov 21 2024 |
| R-4.4-win | NOTE | Nov 21 2024 |
| R-4.4-mac | NOTE | Nov 21 2024 |
| R-4.3-win | OK | Nov 21 2024 |
| R-4.3-mac | OK | Nov 21 2024 |
Exports:boot_lucidboot.lucidest_lucidest.lucidlucidplot_lucidpredict_lucidsummary_lucidtune_lucid
Dependencies:base64encbootbslibcachemclicodetoolscpp11crayondigestevaluatefastmapfontawesomeforeachfsglassoglmnetgluehighrhmshtmltoolshtmlwidgetsigraphiteratorsjquerylibjsonliteknitrlatticelifecyclemagrittrMatrixmclustmemoisemimemixnetworkD3nnetpkgconfigprettyunitsprogressR6rappdirsRcppRcppEigenrlangrmarkdownsassshapesurvivaltinytexvctrsxfunyaml
