CopulaSCR
1.0.1Analysis of Semi-Competing Risks Data Using Copula-Based Models
Overview
Simulate and analyze Semi-competing Risks Data using copula-based models. The Semi-competing Risks Data consist of a terminal event time and single or multiple intermediate event times. The marginal survival functions of these event times are estimated without parametric assumptions. The association parameters measuring dependency among these event times involving the copula model are yielded from solving a concordance estimating equations or maximizing a pseudo-likelihood function. Details can be found in the article by Tonghui Yu and Liming Xiang (2026) doi:10.1093/biomtc/ujag087.
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Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-136 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 63%
- Documented parameters
- 89%
- Return-value docs
- 100%
- References docs
- 19%
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Code & Tests
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People & History
1 release. R releases are shown for context.
- 1.0.1Latest2026-06-12 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-06-12
- Total releases
- 1 / 1 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.3.0
- Bundled data
- 12 KB / 3 files
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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