Cox MultiBlock Survival
Overview
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.
Install
Health
NOTEdependencies in R coder-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64
r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Base package in Suggests/Enhances imported in NAMESPACE: ‘grDevices’
r-devel-windows-x86_64
Base package in Suggests/Enhances imported in NAMESPACE: 'grDevices'
- NOTE8 OK, 5 NOTENow
- NOTE11 OK, 2 NOTE2026-09-12
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
Show 3 earlier changesHide 3 earlier changes
- OK13 OK2026-05-02
- ERROR11 OK, 1 ERROR2026-04-25
- NOTE11 OK, 3 NOTE2026-03-10
Documentation
- Help pages
- 107 (12 internal)
- Examples that run
- 93%76 run in a plain check · 6 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 23% with a bibliography file
Downloads
Repository
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1 development-tooling and community-health practice detected across 1 family in the upstream repository
Checks run against github.com/biostatomics/coxmos on 2026-10-22.
Dependencies
Installing Coxmos adds 126 packages (68 with compiled code, 98 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB. 2 more not on CRAN are not measured.
Code & Tests
Datasets
People & History
Maintainer since 1.0.0 (2024)
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 1.1.5Latest
- 1.1.32025-06-02 · diff ↗ ·
removed 1 export
plot_PLS_Coxmosadded 6 exports
coxmos, cv.coxmos, cv.mb.coxmos, getTrainTest, mb.coxmos, plot_sPLS_Coxmos - RR 4.5.0 released · 2025-04-11
- 1.1.22025-03-05 · diff ↗ ·
removed 4 exports
plot_LP.multipleObservations, plot_LP.multipleObservations.list, plot_pseudobeta_newObservation, plot_pseudobeta_newObservation.listadded 4 exports
plot_multipleObservations.LP, plot_multipleObservations.LP.list, plot_observation.pseudobeta, plot_observation.pseudobeta.list - 1.1.12025-02-06 · diff ↗
- 1.1.02025-01-18 · diff ↗ ·
removed 6 exports
cv.splsdacox_dynamic, cv.splsdrcox_dynamic, save_ggplot.svg, save_ggplot_lst.svg, splsdacox_dynamic, splsdrcox_dynamicadded 16 exports
cv.isb.splsdacox, cv.isb.splsdrcox_penalty, cv.sb.splsdacox, cv.sb.splsdrcox_penalty, cv.splsdacox, cv.splsdrcox_penalty, eval_Coxmos_model_per_variable.list, getDesign.MB, isb.splsdacox, isb.splsdrcox, isb.splsdrcox_penalty, isb.splsicox, sb.splsdacox, sb.splsdrcox_penalty, splsdacox, splsdrcox_penalty - RR 4.4.0 released · 2024-04-24
- 1.0.22024-03-25 · diff ↗
- 1.0.12024-03-22 · diff ↗
- 1.0.02024-03-12
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2024-03-12
- Total releases
- 8 / 2 yrs
- License
- CC BY 4.0
- Minimum R
- ≥ 4.1.0
- Bundled data
- 906 KB / 4 files
- Download size
- 2.9 MB
Cite
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Run in R for the authors' preferred citation:
citation("Coxmos")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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