Package: iClusterVB 0.1.2
Abdalkarim Alnajjar
iClusterVB: Fast Integrative Clustering and Feature Selection for High Dimensional Data
A variational Bayesian approach for fast integrative clustering and feature selection, facilitating the analysis of multi-view, mixed type, high-dimensional datasets with applications in fields like cancer research, genomics, and more.
Authors:
iClusterVB_0.1.2.tar.gz
iClusterVB_0.1.2.zip(r-4.5)iClusterVB_0.1.2.zip(r-4.4)iClusterVB_0.1.2.zip(r-4.3)
iClusterVB_0.1.2.tgz(r-4.4-x86_64)iClusterVB_0.1.2.tgz(r-4.4-arm64)iClusterVB_0.1.2.tgz(r-4.3-x86_64)iClusterVB_0.1.2.tgz(r-4.3-arm64)
iClusterVB_0.1.2.tar.gz(r-4.5-noble)iClusterVB_0.1.2.tar.gz(r-4.4-noble)
iClusterVB_0.1.2.tgz(r-4.4-emscripten)iClusterVB_0.1.2.tgz(r-4.3-emscripten)
iClusterVB.pdf |iClusterVB.html✨
iClusterVB/json (API)
# Install 'iClusterVB' in R: |
install.packages('iClusterVB', repos = c('https://abdalkarima.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/abdalkarima/iclustervb/issues
Last updated 3 months agofrom:988892cc83. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-win-x86_64 | OK | Oct 31 2024 |
R-4.5-linux-x86_64 | OK | Oct 31 2024 |
R-4.4-win-x86_64 | OK | Oct 31 2024 |
R-4.4-mac-x86_64 | OK | Oct 31 2024 |
R-4.4-mac-aarch64 | OK | Oct 31 2024 |
R-4.3-win-x86_64 | OK | Oct 31 2024 |
R-4.3-mac-x86_64 | OK | Oct 31 2024 |
R-4.3-mac-aarch64 | OK | Oct 31 2024 |
Exports:chmapiClusterVBpiplot
Dependencies:base64encbslibcachemcliclusterclustMixTypecodacolorspacecombinatcommonmarkcowplotcrayondigestdplyrfansifarverfastmapfontawesomefsgenericsggplot2gluegtablehtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlatticelifecyclemagrittrMASSMatrixMatrixModelsmclustmcmcMCMCpackmemoisemgcvmimemunsellmvtnormnlmepheatmappillarpkgconfigpoLCApromisesquantregR.methodsS3R.ooR.utilsR6rappdirsRColorBrewerRcppRcppArmadillorlangsassscalesscatterplot3dshinysourcetoolsSparseMsurvivaltibbletidyselectutf8VarSelLCMvctrsviridisLitewithrxtable
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Generates a heat map based on an iClusterVB object | chmap |
Fast Integrative Clustering for High-Dimensional Multi-View Data Using Variational Bayesian Inference | iClusterVB |
LAML (Acute Myeloid Leukemia) Data | laml laml.cli laml.exp laml.mut |
Generates a probability inclusion plot based on an iClusterVB object | piplot |
Generic plot method for `iClusterVB` objects | plot.iClusterVB |
Simulated Dataset | sim_data |
Generic summary method for `iClusterVB` objects | summary.iClusterVB |