Computation of Generalized Linear Models with Misclassified Covariates Using Side Information
Overview
Estimates models that extend the standard GLM to take misclassification into account. The models require side information from a secondary data set on the misclassification process, i.e. some sort of misclassification probabilities conditional on some common covariates. A detailed description of the algorithm can be found in Dlugosz, Mammen and Wilke (2015) https://ftp.zew.de/pub/zew-docs/dp/dp15043.pdf.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 11 (1 internal)includes a package overview page
- Examples that run
- 0%2 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 25%
- Documented parameters
- 99%
- Return-value docs
- 0%
- Help pages citing references
- 0%
Downloads
Dependencies
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 0.3.6Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.3.52023-11-19 · diff ↗
- 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
- 0.3.22020-02-10 · diff ↗
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- 0.2.02016-09-03
- RR 3.3.0 released · 2016-05-03
Package metadata
- First published
- 2016-09-03
- Total releases
- 4 / 10 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.0.0
- Download size
- 20 KB
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