Superefficient Estimation of Future Conditional Hazards Based on Marker Information
Overview
Provides univariate and indexed (multivariate) nonparametric smoothed kernel estimators for the future conditional hazard rate function when time-dependent covariates are present, a bandwidth selector for the estimator's implementation and pointwise and uniform confidence bands. Methods used in the package refer to Bagkavos, Isakson, Mammen, Nielsen and Proust-Lima (2025) doi:10.1093/biomet/asaf008.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK13 OK2026-05-02
Show 2 earlier changesHide 2 earlier changes
- ERROR11 OK, 1 ERROR2026-04-25
- OK14 OK2026-03-10
Documentation
- Help pages
- 41
- Examples that run
- 67%22 run in a plain check · 10 only when donttest examples are enabled (R CMD check --as-cran) · 1 hold no code
- Exported functions with examples
- 80%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- Help pages citing references
- 56%
Downloads
Dependencies
Code & Tests
Datasets
People & History
Previously maintained by Alex Isakson (0.1.0).
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 2.1Latest
- 2.02026-01-08 · diff ↗
- 1.12025-12-03 · diff ↗
- RR 4.5.0 released · 2025-04-11
- 1.02025-02-01 · diff ↗
- 0.1.42024-12-12 · diff ↗
- 0.1.22024-12-04 · diff ↗
- 0.1.12024-09-25 · diff ↗
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.1.02022-09-12
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2022-09-12
- Total releases
- 8 / 4 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 44 KB / 1 file
- Download size
- 93 KB
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