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Coxmos  

Cox MultiBlock Survival
View on CRAN: Click here


Download and install Coxmos package within the R console
Install from CRAN:
install.packages("Coxmos")

Install from Github:
library("remotes")
install_github("cran/Coxmos")

Install by package version:
library("remotes")
install_version("Coxmos", "1.0.2")



Attach the package and use:
library("Coxmos")
Maintained by
Pedro Salguero García
[Scholar Profile | Author Map]
First Published: 2024-03-12
Latest Update: 2024-03-12
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) , Noah Simon et al. (2011) , Philippe Bastien et al. (2005) , Philippe Bastien (2008) , Philippe Bastien et al. (2014) , Kassu Mehari Beyene and Anouar El Ghouch (2020) , Florian Rohart et al. (2017) .
How to cite:
Pedro Salguero García (2024). Coxmos: Cox MultiBlock Survival. R package version 1.0.2, https://cran.r-project.org/web/packages/Coxmos. Accessed 12 Jan. 2025.
Previous versions and publish date:
1.0.0 (2024-03-12 21:00), 1.0.1 (2024-03-22 18:10)
Other packages that cited Coxmos R package
View Coxmos citation profile
Other R packages that Coxmos depends, imports, suggests or enhances
Complete documentation for Coxmos
Functions, R codes and Examples using the Coxmos R package
Full Coxmos package functions and examples
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