ProgVine
Progressive Regularized Vine Copula for Masked Competing Risks
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | ProgVine_0.1.0.tar.gz |
18.8 KiB |
0.1.0 |
rolling linux/noble R-4.5 | ProgVine_0.1.0.tar.gz |
18.8 KiB |
0.1.0 |
rolling source/ R- | ProgVine_0.1.0.tar.gz |
3.2 KiB |
0.1.0 |
latest linux/jammy R-4.5 | ProgVine_0.1.0.tar.gz |
18.8 KiB |
0.1.0 |
latest linux/noble R-4.5 | ProgVine_0.1.0.tar.gz |
18.8 KiB |
0.1.0 |
latest source/ R- | ProgVine_0.1.0.tar.gz |
3.2 KiB |
0.1.0 |
2026-04-23 source/ R- | ProgVine_0.1.0.tar.gz |
0 B |