Progressive Regularized Vine Copula for Masked Competing Risks [R package ProgVine version 0.1.0]

Okechukwu J. Obulezi

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.

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

Documentation:

Reference manual:

ProgVine.html , ProgVine.pdf

Downloads:

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

Linking:

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