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: 0.1.4 Depends: R (≥ 4.0.0) Imports: cluster, clustMixType, cowplot, ggplot2, graphics, grDevices, mclust, MCMCpack, mvtnorm, pheatmap, poLCA, Rcpp (≥ 1.0.12), stats, utils, VarSelLCM LinkingTo: Rcpp, RcppArmadillo Suggests: knitr, rmarkdown, survival, survminer Published: 2024-12-09 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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=iClusterVB to link to this page.
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