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 Salguero 
[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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