Package: ClustAll
Type: Package
Title: ClustAll: Data driven strategy to robustly identify
        stratification of patients within complex diseases
Version: 1.9.0
Authors@R: c(person("Asier", "Ortega-Legarreta", role = c("aut","cre"),  
           email = "aortegal@navarra.es", 
           comment = c(ORCID = "0009-0000-3563-5362")),
           person("Sara", "Palomino-Echeverria", role = c("aut"),  
           email = "spalomie@navarra.es"))
Imports: FactoMineR, bigstatsr, clValid, doSNOW, parallel, foreach,
        dplyr, fpc, mice, modeest, flock, networkD3, methods,
        ComplexHeatmap, cluster, RColorBrewer, circlize, grDevices,
        ggplot2, grid, stats, utils, pbapply
Suggests: RUnit, knitr, BiocGenerics, rmarkdown, BiocStyle, roxygen2
Description: Data driven strategy to find hidden groups of patients
        with complex diseases using clinical data. ClustAll facilitates
        the unsupervised identification of multiple robust
        stratifications. ClustAll, is able to overcome the most common
        limitations found when dealing with clinical data (missing
        values, correlated data, mixed data types).
Depends: R (>= 4.2.0)
License: GPL-2
Encoding: UTF-8
biocViews: Software, StatisticalMethod, Clustering, DimensionReduction,
        PrincipalComponent
RoxygenNote: 7.3.2
VignetteBuilder: knitr
git_url: https://github.com/TranslationalBioinformaticsUnit/ClustAll
Packaged: 2026-07-09 06:52:04 UTC; root
Config/pak/sysreqs: cmake libfreetype6-dev libglpk-dev make libicu-dev
        libjpeg-dev libpng-dev libuv1-dev libxml2-dev libssl-dev perl
        libx11-dev zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 13:02:48 UTC
RemoteUrl: https://github.com/bioc/ClustAll
RemoteRef: HEAD
RemoteSha: 4df6113ca0e3c785afe7d142f47ab912b93bbe48
NeedsCompilation: no
Author: Asier Ortega-Legarreta [aut, cre] (ORCID:
    <https://orcid.org/0009-0000-3563-5362>),
  Sara Palomino-Echeverria [aut]
Maintainer: Asier Ortega-Legarreta <aortegal@navarra.es>