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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: | 1.0.2 |
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 |
Published: | 2024-03-25 |
DOI: | 10.32614/CRAN.package.Coxmos |
Author: | Pedro Salguero García [aut, cre, rev], Sonia Tarazona Campos [ths], Ana Conesa Cegarra [ths], Kassu Mehari Beyene [ctb], Luis Meira Machado [ctb], Marta Sestelo [ctb], Artur Araújo [ctb] |
Maintainer: | Pedro Salguero García <pedrosalguerog at gmail.com> |
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 |
Reference manual: | Coxmos.pdf |
Vignettes: |
Step-by-step guide to the MO-Coxmos pipeline Step-by-step guide to the Coxmos pipeline |
Package source: | Coxmos_1.0.2.tar.gz |
Windows binaries: | r-devel: Coxmos_1.0.2.zip, r-release: Coxmos_1.0.2.zip, r-oldrel: Coxmos_1.0.2.zip |
macOS binaries: | r-release (arm64): Coxmos_1.0.2.tgz, r-oldrel (arm64): Coxmos_1.0.2.tgz, r-release (x86_64): Coxmos_1.0.2.tgz, r-oldrel (x86_64): Coxmos_1.0.2.tgz |
Old sources: | Coxmos archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.