# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "Coxmos" in publications use:' type: software license: CC-BY-4.0 title: 'Coxmos: Cox MultiBlock Survival' version: 1.1.2 doi: 10.32614/CRAN.package.Coxmos abstract: 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) . authors: - family-names: Salguero García given-names: Pedro email: pedrosalguerog@gmail.com orcid: https://orcid.org/0000-0002-1879-3374 repository: https://CRAN.R-project.org/package=Coxmos repository-code: https://github.com/BiostatOmics/Coxmos url: https://github.com/BiostatOmics/Coxmos date-released: '2025-03-05' contact: - family-names: Salguero García given-names: Pedro email: pedrosalguerog@gmail.com orcid: https://orcid.org/0000-0002-1879-3374