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: 2024-12-07 22:15:58 UTC; Abdalkarim
Repository: CRAN
Date/Publication: 2024-12-09 19:50:06 UTC
Built: R 4.4.3; x86_64-w64-mingw32; 2025-11-12 04:39:18 UTC; windows
Archs: x64
