An Ensemble Method for Interval-Censored Survival Data
Overview
Implements the conditional inference forest approach to modeling interval-censored survival data. It also provides functions to tune the parameters and evaluate the model fit. See Yao et al. (2019) arXiv:1901.04599.
Install
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Weichi Yao <wy635@stern.nyu.edu>’ The Description field contains <arXiv:1901.04599>. Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
- NOTE11 OK, 2 NOTENow
- NOTE9 OK, 5 NOTE2026-03-10
Documentation
- Help pages
- 6includes a package overview page
- Examples that run
- 100%5 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 59%
- Return-value docs
- 100%
- Help pages citing references
- 17%
Downloads
Dependencies
Installing ICcforest adds 47 packages (21 with compiled code, 36 MB of source tarballs). Heaviest: ggplot2 6.0 MB, data.table 5.7 MB, partykit 2.1 MB.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 0.5.1Latest
- RR 3.6.0 released · 2019-04-26
- 0.5.02019-02-08
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2019-02-08
- Total releases
- 2 / 7 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.4.0
- Download size
- 12 KB
Cite
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