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://www.zew.de/publikationen/generalised-partially-linear-regression-with-misclassified-data-and-an-application-to-labour-market-transitions>.

Version: 0.3.5
Depends: R (≥ 3.0.0)
Imports: stats, Matrix, MASS, ucminf, numDeriv, foreach, mlogit
Suggests: parallel
Published: 2023-11-19
DOI: 10.32614/CRAN.package.misclassGLM
Author: Stephan Dlugosz
Maintainer: Stephan Dlugosz <stephan.dlugosz at googlemail.com>
License: GPL-3
NeedsCompilation: yes
Materials: README
CRAN checks: misclassGLM results


Reference manual: misclassGLM.pdf


Package source: misclassGLM_0.3.5.tar.gz
Windows binaries: r-devel: misclassGLM_0.3.5.zip, r-release: misclassGLM_0.3.5.zip, r-oldrel: misclassGLM_0.3.5.zip
macOS binaries: r-release (arm64): misclassGLM_0.3.5.tgz, r-oldrel (arm64): misclassGLM_0.3.5.tgz, r-release (x86_64): misclassGLM_0.3.5.tgz, r-oldrel (x86_64): misclassGLM_0.3.5.tgz
Old sources: misclassGLM archive


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