Other packages > Find by keyword >

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", "1.1.5")



Attach the package and use:
library("Coxmos")
Maintained by
Pedro Salguero García
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-03-12
Latest Update: 2025-06-02
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 1.1.5, https://cran.r-project.org/web/packages/Coxmos. Accessed 24 Oct. 2026.
Previous versions and publish date:
1.0.0 (2024-03-12 21:00), 1.0.1 (2024-03-22 18:10), 1.0.2 (2024-03-25 21:32), 1.1.0 (2025-01-18 12:30), 1.1.1 (2025-02-06 14:10), 1.1.2 (2025-03-05 17:30), 1.1.3 (2025-06-02 20:02), (2026-07-09 08:01)
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

r3PG  
Simulating Forest Growth using the 3-PG Model
Provides a flexible and easy-to-use interface for the Physiological Processes Predicting Growth (3-P ...
Download / Learn more Package Citations See dependency  
RcmdrPlugin.depthTools  
R Commander Depth Tools Plug-in
We provide an Rcmdr plug-in based on the depthTools package, which implements different robust stat ...
Download / Learn more Package Citations See dependency  
funprog  
Functional Programming
High-order functions for data manipulation : sort or group data, given one or more auxiliary func ...
Download / Learn more Package Citations See dependency  
OOBCurve  
Out of Bag Learning Curve
Provides functions to calculate the out-of-bag learning curve for random forests for any measure tha ...
Download / Learn more Package Citations See dependency  
extlasso  
Maximum Penalized Likelihood Estimation with Extended Lasso Penalty
Estimates coefficients of extended LASSO penalized linear regression and generalized linear models. ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,081

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA