Package: Coxmos
Title: Cox MultiBlock Survival
Version: 1.0.2
Authors@R: 
    c(person("Pedro", "Salguero García", , "pedrosalguerog@gmail.com", role = c("aut", "cre", "rev"),
           comment = c(ORCID = "0000-0002-1879-3374")),
    person("Sonia", "Tarazona Campos", , "sotacam@eio.upv.es", role = c("ths")),
    person("Ana", "Conesa Cegarra", , "ana.conesa@csic.es", role = c("ths")),
    person("Kassu", "Mehari Beyene", , "kasu.beyene@uclouvain.be", role = c("ctb")),
    person("Luis", "Meira Machado", , "", role = c("ctb")),
    person("Marta", "Sestelo", , "", role = c("ctb")),
    person("Artur", "Araújo", , "", role = c("ctb"))
    )
Maintainer: Pedro Salguero García <pedrosalguerog@gmail.com>
Description: This software package provides Cox survival analysis for high-dimensional and multiblock datasets. 
             It encompasses a suite of functions dedicated from the classical Cox regression to newest analysis,
             including Cox proportional hazards model, Stepwise Cox regression, and Elastic-Net Cox regression, 
             Sparse Partial Least Squares Cox regression (sPLS-COX) incorporating three distinct strategies, 
             and two Multiblock-PLS Cox regression (MB-sPLS-COX) methods. This tool is designed to adeptly handle 
             high-dimensional data, and provides tools for cross-validation, plot generation, and additional resources 
             for interpreting results. While references are available within the corresponding functions, 
             key literature is mentioned below.
             Terry M Therneau (2024) <https://CRAN.R-project.org/package=survival>,
             Noah Simon et al. (2011) <doi:10.18637/jss.v039.i05>,
             Philippe Bastien et al. (2005) <doi:10.1016/j.csda.2004.02.005>,
             Philippe Bastien (2008) <doi:10.1016/j.chemolab.2007.09.009>,
             Philippe Bastien et al. (2014) <doi:10.1093/bioinformatics/btu660>,
             Kassu Mehari Beyene and Anouar El Ghouch (2020) <doi:10.1002/sim.8671>,
             Florian Rohart et al. (2017) <doi:10.1371/journal.pcbi.1005752>.
URL: https://github.com/BiostatOmics/Coxmos
BugReports: https://github.com/BiostatOmics/Coxmos/issues
License: CC BY 4.0
Encoding: UTF-8
RoxygenNote: 7.2.3
biocViews:
Depends: R (>= 4.1.0),
Imports: caret, cowplot, furrr, future, ggrepel, ggplot2, ggpubr,
        glmnet, MASS, mixOmics, progress, purrr, Rdpack, scattermore,
        stats, survcomp, survival, survminer, svglite, tidyr, utils
Suggests: nsROC, smoothROCtime, survivalROC, risksetROC, ggforce,
        knitr, RColorConesa, rmarkdown
RdMacros: Rdpack
LazyData: true
NeedsCompilation: yes
VignetteBuilder: knitr
Packaged: 2024-03-22 18:01:35 UTC; Ps
Author: Pedro Salguero García [aut, cre, rev]
    (<https://orcid.org/0000-0002-1879-3374>),
  Sonia Tarazona Campos [ths],
  Ana Conesa Cegarra [ths],
  Kassu Mehari Beyene [ctb],
  Luis Meira Machado [ctb],
  Marta Sestelo [ctb],
  Artur Araújo [ctb]
Repository: CRAN
Date/Publication: 2024-03-25 20:32:38 UTC
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