Event Prediction for Time-to-Event Endpoints
Overview
Implements the hybrid framework for event prediction described in Fang & Zheng (2011, doi:10.1016/j.cct.2011.05.013). To estimate the survival function the event prediction is based on, a piecewise exponential hazard function is fit to the time-to-event data to infer the potential change points. Prior to the last identified change point, the survival function is estimated using Kaplan-Meier, and the tail after the change point is fit using piecewise exponential.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 12includes a package overview page
- Examples that run
- 56%5 run in a plain check · 1 never run · 3 hold no code
- Exported functions with examples
- 73%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 67%
Downloads
Dependencies
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
- 1.0.4Latest
- RR 4.4.0 released · 2024-04-24
- 1.0.32023-08-08 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 1.0.22022-08-26 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 1.0.12021-09-03 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 1.0.02021-05-10
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2021-05-10
- Total releases
- 5 / 5 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.5.0
- Download size
- 921 KB
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