Progressive Regularized Vine Copula for Masked Competing Risks R package ProgVine version 0.1.0 Implements Progressive Regularized Vine Copula (Prog-Vine) frameworks for high-dimensional dependent competing risks with masked failure causes under Progressive Type-II Censoring. Fits Weibull marginals, estimates pair-copula trees using Expectation-Maximization (EM) algorithms, computes Louis observed information confidence intervals, and implements Data Augmentation Gibbs Samplers for Bayesian credible intervals. Software Imports: stats Okechukwu J. Obulezi <oj.obulezi@unizik.edu.ng> Comprehensive R Archive Network (CRAN) Okechukwu J. Obulezi [aut, cre] GPL-3 2026-08-09 application/tgz https://CRAN.R-project.org/package=ProgVine doi:10.32614/CRAN.package.ProgVine