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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.
Version: | 0.1.1 |
Depends: | R (≥ 3.5.0) |
Imports: | cluster, clustMixType, compiler, cowplot, ggplot2, graphics, grDevices, inline, mclust, MCMCpack, mvtnorm, pheatmap, poLCA, R.utils, Rcpp (≥ 1.0.12), stats, utils, VarSelLCM |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | knitr, rmarkdown, survival, survminer |
Published: | 2024-07-30 |
DOI: | 10.32614/CRAN.package.iClusterVB |
Author: | Abdalkarim Alnajjar [aut, cre, cph], Zihang Lu [aut] |
Maintainer: | Abdalkarim Alnajjar <abdalkarim.alnajjar at queensu.ca> |
BugReports: | https://github.com/AbdalkarimA/iClusterVB/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/AbdalkarimA/iClusterVB |
NeedsCompilation: | yes |
Materials: | README |
CRAN checks: | iClusterVB results [issues need fixing before 2024-08-19] |
Reference manual: | iClusterVB.pdf |
Vignettes: |
Introduction to iClusterVB (source, R code) |
Package source: | iClusterVB_0.1.1.tar.gz |
Windows binaries: | r-devel: iClusterVB_0.1.1.zip, r-release: iClusterVB_0.1.1.zip, r-oldrel: iClusterVB_0.1.1.zip |
macOS binaries: | r-release (arm64): iClusterVB_0.1.1.tgz, r-oldrel (arm64): iClusterVB_0.1.1.tgz, r-release (x86_64): iClusterVB_0.1.1.tgz, r-oldrel (x86_64): iClusterVB_0.1.1.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.