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misclassGLM: Computation of Generalized Linear Models with Misclassified Covariates Using Side Information
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>.
Getting started
Browse package contents
Package details |
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| Author | Stephan Dlugosz [aut, cre] |
| Maintainer | Stephan Dlugosz <stephan.dlugosz@googlemail.com> |
| License | GPL-3 |
| Version | 0.3.6 |
| Package repository | View on CRAN |
| Installation |
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