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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.
| Version: | 0.1.0 |
| Imports: | stats |
| Published: | 2026-08-09 |
| DOI: | 10.32614/CRAN.package.ProgVine |
| Author: | Okechukwu J. Obulezi [aut, cre] |
| Maintainer: | Okechukwu J. Obulezi <oj.obulezi at unizik.edu.ng> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | ProgVine results |
| Reference manual: | ProgVine.html , ProgVine.pdf |
| Package source: | ProgVine_0.1.0.tar.gz |
| Windows binaries: | r-devel: ProgVine_0.1.0.zip, r-release: ProgVine_0.1.0.zip, r-oldrel: ProgVine_0.1.0.zip |
| macOS binaries: | r-release (arm64): ProgVine_0.1.0.tgz, r-oldrel (arm64): ProgVine_0.1.0.tgz, r-release (x86_64): ProgVine_0.1.0.tgz, r-oldrel (x86_64): ProgVine_0.1.0.tgz |
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