Bias Reduction with Missing Binary Response
Overview
Provides two main functions, il() and fil(). The il() function implements the EM algorithm developed by Ibrahim and Lipsitz (1996) DOI:10.2307/2533068 to estimate the parameters of a logistic regression model with the missing response when the missing data mechanism is nonignorable. The fil() function implements the algorithm proposed by Maity et. al. (2017+) https://github.com/arnabkrmaity/brlrmr to reduce the bias produced by the method of Ibrahim and Lipsitz (1996) DOI:10.2307/2533068.
Install
Health
CRAN check results are not tracked yet.
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 9
- Examples that run
- 50%1 run in a plain check · 1 never run
- Exported functions with examples
- 33%
- Documented parameters
- 100%
- Return-value docs
- 33%
- Help pages citing references
- 67%
Downloads
Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- archivedRemoved from CRAN2026-05-08email 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
- 0.1.72019-09-11 · diff ↗
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 0.1.52017-07-17 · diff ↗
- 0.1.42017-07-10 · diff ↗
- 0.1.32017-07-07 · diff ↗
- 0.1.2
- 0.1.02017-05-24
Show 1 earlier eventHide 1 earlier event
- RR 3.4.0 released · 2017-04-21
Package metadata
- First published
- 2017-05-24
- Total releases
- 6 / 9 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 4.3 KB / 3 files
- Download size
- 14 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("brlrmr")The package provides a citation file that builds its entry when R runs it. Run citation() to see it.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.