# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "bigPLScox" in publications use:' type: software license: GPL-3.0-only title: 'bigPLScox: Partial Least Squares for Cox Models with Big Matrices' version: 0.8.1 identifiers: - type: doi value: 10.32614/CRAN.package.bigPLScox abstract: Provides Partial least squares Regression and various regular, sparse or kernel, techniques for fitting Cox models for big data. Provides a Partial Least Squares (PLS) algorithm adapted to Cox proportional hazards models that works with 'bigmemory' matrices without loading the entire dataset in memory. Also implements a gradient-descent based solver for Cox proportional hazards models that works directly on 'bigmemory' matrices. Bertrand and Maumy (2023) , and highlighted fitting and cross-validating PLS-based Cox models to censored big data. authors: - family-names: Bertrand given-names: Frederic email: frederic.bertrand@lecnam.net orcid: https://orcid.org/0000-0002-0837-8281 - family-names: Maumy-Bertrand given-names: Myriam email: myriam.maumy@ehesp.fr orcid: https://orcid.org/0000-0002-4615-1512 preferred-citation: type: manual title: Partial Least Squares for Cox Models with Big Matrices authors: - family-names: Bertrand given-names: Frederic email: frederic.bertrand@lecnam.net orcid: https://orcid.org/0000-0002-0837-8281 - family-names: Maumy given-names: Myriam publisher: name: manual year: '2025' notes: R package version 0.8.1 url: https://fbertran.github.io/bigPLScox/ repository: https://fbertran.r-universe.dev repository-code: https://github.com/fbertran/bigPLScox commit: 91f3b041cc74e56a10fa3c314fc787251607c623 url: https://fbertran.github.io/bigPLScox/ date-released: '2025-11-15' contact: - family-names: Bertrand given-names: Frederic email: frederic.bertrand@lecnam.net orcid: https://orcid.org/0000-0002-0837-8281 references: - type: generic title: PLS models and their extension for big data authors: - family-names: Maumy given-names: Myriam - family-names: Bertrand given-names: Frédéric year: '2023' medium: Conference presentation at the Joint Statistical Meetings (JSM 2023) location: name: Toronto, Ontario, Canada notes: Aug 5–10, 2023 - type: generic title: 'bigPLS: Fitting and cross-validating PLS-based Cox models to censored big data' authors: - family-names: Maumy given-names: Myriam - family-names: Bertrand given-names: Frédéric year: '2023' medium: 'Conference presentation at BioC2023: The Bioconductor Annual Conference' location: name: Dana-Farber Cancer Institute, Boston, MA, USA notes: Aug 2–4, 2023 doi: 10.7490/f1000research.1119546.1 url: https://doi.org/10.7490/f1000research.1119546.1