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Coxmos: Cox MultiBlock Survival

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>.

Version:1.1.5
Depends:R (≥ 4.1.0)
Imports:caret,cowplot,furrr,future,ggrepel,ggplot2,ggpubr,glmnet,MASS,mixOmics, methods,patchwork,progress,purrr,Rdpack,scattermore, stats,survcomp,survival,survminer,svglite,tidyr, utils
Suggests:ggforce, grDevices,knitr,nsROC,RColorConesa,risksetROC,rmarkdown,smoothROCtime,survivalROC
Published:2025-09-22
DOI:10.32614/CRAN.package.Coxmos
Author:Pedro SalgueroORCID iD [aut, cre, rev], Sonia Tarazona Campos [ths], Kassu Mehari Beyene [ctb], Luis Meira Machado [ctb], Marta Sestelo [ctb], Artur Araújo [ctb]
Maintainer:Pedro Salguero <pedsalga at upv.edu.es>
BugReports:https://github.com/BiostatOmics/Coxmos/issues
License:CC BY 4.0
URL:https://github.com/BiostatOmics/Coxmos
NeedsCompilation:yes
Materials:README
CRAN checks:Coxmos results

Documentation:

Reference manual:Coxmos.html ,Coxmos.pdf
Vignettes:Step-by-step guide to the MultiBlock Coxmos pipeline (source,R code)
Step-by-step guide to the High-Dimensional Coxmos pipeline (source,R code)

Downloads:

Package source: Coxmos_1.1.5.tar.gz
Windows binaries: r-devel:Coxmos_1.1.5.zip, r-release:Coxmos_1.1.5.zip, r-oldrel:Coxmos_1.1.5.zip
macOS binaries: r-release (arm64):Coxmos_1.1.5.tgz, r-oldrel (arm64):Coxmos_1.1.5.tgz, r-release (x86_64):Coxmos_1.1.5.tgz, r-oldrel (x86_64):Coxmos_1.1.5.tgz
Old sources: Coxmos archive

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