Type: Package
Package: iClusterVB
Title: Fast Integrative Clustering and Feature Selection for High
        Dimensional Data
Version: 0.1.4
Authors@R: c(
    person("Abdalkarim", "Alnajjar", , "abdalkarim.alnajjar@queensu.ca", role = c("aut", "cre", "cph"),
           comment = c(ORCID = "0009-0008-4439-1214")),
    person("Zihang", "Lu", , "zihang.lu@queensu.ca", role = "aut")
  )
Author: Abdalkarim Alnajjar [aut, cre, cph]
        (<https://orcid.org/0009-0008-4439-1214>), Zihang Lu [aut]
Maintainer: Abdalkarim Alnajjar <abdalkarim.alnajjar@queensu.ca>
Description: 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.
License: MIT + file LICENSE
URL: https://github.com/AbdalkarimA/iClusterVB
BugReports: https://github.com/AbdalkarimA/iClusterVB/issues
Depends: R (>= 4.0.0)
Imports: cluster, clustMixType, cowplot, ggplot2, graphics, grDevices,
        mclust, MCMCpack, mvtnorm, pheatmap, poLCA, Rcpp (>= 1.0.12),
        stats, utils, VarSelLCM
Suggests: knitr, rmarkdown, survival, survminer
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
RoxygenNote: 7.3.2
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-10-20 09:40:20 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2024-12-09 20:34:17 UTC
RemoteUrl: https://github.com/cran/iClusterVB
RemoteRef: HEAD
RemoteSha: 04498b33aea8292aa8e0dc3e6e02538a7999ef43