depCensoring
0.1.10Statistical Methods for Survival Data with Dependent Censoring
Overview
Several statistical methods for analyzing survival data under various forms of dependent censoring are implemented in the package. In addition to accounting for dependent censoring, it offers tools to adjust for unmeasured confounding factors. The implemented approaches allow users to estimate the dependency between survival time and dependent censoring time, based solely on observed survival data. For more details on the methods, refer to Deresa and Van Keilegom (2021) doi:10.1093/biomet/asaa095, Czado and Van Keilegom (2023) doi:10.1093/biomet/asac067, Crommen et al. (2024) doi:10.1007/s11749-023-00903-9, Deresa and Van Keilegom (2024) doi:10.1080/01621459.2022.2161387, Willems et al. (2025) doi:10.48550/arXiv.2403.11860, Ding and Van Keilegom (2025) and D'Haen et al. (2025) doi:10.1007/s10985-025-09647-0.
Install
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
- OK2026-04-2512 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-03-1013 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 18%
- Documented parameters
- 95%
- Return-value docs
- 83%
- References docs
- 40%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
8 releases. Pick two to compare their code metrics. R releases are shown for context.
Package metadata
- First published
- 2024-10-02
- Total releases
- 8 / 2 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 2.4 KB / 1 file
- Download size
- 286 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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