Package: ClustAll
Type: Package
Title: ClustAll: Data driven strategy to robustly identify
        stratification of patients within complex diseases
Version: 1.7.0
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: 2026-02-21 08:52:26 UTC; root
Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libpng-dev
        libxml2-dev perl libx11-dev zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2025-10-29 15:29:16 UTC
RemoteUrl: https://github.com/bioc/ClustAll
RemoteRef: HEAD
RemoteSha: e78dc534d36032b67e8d6c76be222315414551e6
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>
Built: R 4.6.0; ; 2026-02-21 08:54:09 UTC; windows
