Year: 2025
Type: preprint
Abstract: 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.
Source: arXiv (Cornell University)
Institutions: University of Essex, University of Salerno
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4406779352