Package: ProgVine 0.1.0

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.

Authors:Okechukwu J. Obulezi [aut, cre]

ProgVine_0.1.0.tar.gz
ProgVine_0.1.0.zip(r-4.7-any)ProgVine_0.1.0.zip(r-4.6-any)ProgVine_0.1.0.zip(r-4.5-any)
ProgVine_0.1.0.tgz(r-4.6-any)ProgVine_0.1.0.tgz(r-4.5-any)
ProgVine_0.1.0.tar.gz(r-4.7-any)ProgVine_0.1.0.tar.gz(r-4.6-any)
ProgVine_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ProgVine/json (API)

# Install 'ProgVine' in R:
install.packages('ProgVine', repos = c('https://obulezi-oj.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 169 downloads 4 exports 0 dependencies

Last updated from:49bc8ac6c9. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK102
source / vignettesOK142
linux-releaseOK90
macos-releaseOK68
macos-oldrelOK80
windows-develOK57
windows-releaseOK57
windows-oldrelOK52
wasm-releaseOK66

Exports:dweibull_progfit_em_vinegibbs_prog_vinepweibull_prog

Dependencies: