Linear Regression with a Randomly Censored Covariate
Overview
Implementations of threshold regression approaches for linear regression models with a covariate subject to random censoring, including deletion threshold regression and completion threshold regression. Reverse survival regression, which flip the role of response variable and the covariate, is also considered.
Install
Health
CRAN check results are not tracked yet.
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 1
- Examples that run
- 100%1 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 0%
- Help pages citing references
- 100%
Downloads
Dependencies
Code & Tests
People & History
- archivedRemoved from CRAN2026-04-30email to the maintainer is undeliverable
- 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
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 1.0-02017-04-25
- RR 3.4.0 released · 2017-04-21
Package metadata
- First published
- 2017-04-25
- Total releases
- 1 / 9 yrs
- License
- GPL (>= 3) OSI
- Download size
- 7.0 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("censCov")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.