BRBVS: An R Package for Bivariate Variable selection in Copula Survival Model(s) domain

Fuente: arXiv
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Auteurs principaux: Petti, Danilo, Niglio, Marcella, Restaino, Marialuisa
Format: Preprint
Publié: 2025
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author Petti, Danilo
Niglio, Marcella
Restaino, Marialuisa
author_facet Petti, Danilo
Niglio, Marcella
Restaino, Marialuisa
contents BRBVS is a publicly available \texttt{R} package on CRAN that implements the algorithm proposed in Petti et al.(2024a). The algorithm was developed as the first proposal of variable selection for the class of Bivariate Survival Copula Models originally proposed in Marra & Radice (2020) and implemented in the \texttt{GJRM} package. The core of the \texttt{BRBVS} package is to implement and make available to practitioners variable selection algorithms for bivariate survival data affected by censoring, providing easy-to-use functions and graphical outputs. The idea behind the algorithm is almost general and may also be extended to different class of models.
format Preprint
id arxiv_https___arxiv_org_abs_2501_12837
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle BRBVS: An R Package for Bivariate Variable selection in Copula Survival Model(s) domain
Petti, Danilo
Niglio, Marcella
Restaino, Marialuisa
Methodology
Computation
BRBVS is a publicly available \texttt{R} package on CRAN that implements the algorithm proposed in Petti et al.(2024a). The algorithm was developed as the first proposal of variable selection for the class of Bivariate Survival Copula Models originally proposed in Marra & Radice (2020) and implemented in the \texttt{GJRM} package. The core of the \texttt{BRBVS} package is to implement and make available to practitioners variable selection algorithms for bivariate survival data affected by censoring, providing easy-to-use functions and graphical outputs. The idea behind the algorithm is almost general and may also be extended to different class of models.
title BRBVS: An R Package for Bivariate Variable selection in Copula Survival Model(s) domain
topic Methodology
Computation
url https://arxiv.org/abs/2501.12837