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) <http://www.zew.de/PU70410>.

Version:	0.3.2
Depends:	R (≥ 3.0.0)
Imports:	stats, Matrix, MASS, ucminf, numDeriv, bigmemory, foreach, mlogit
Suggests:	parallel
Published:	2020-02-10
Author:	Stephan Dlugosz
Maintainer:	Stephan Dlugosz <stephan.dlugosz at googlemail.com>
License:	GPL-3
NeedsCompilation:	yes
CRAN checks:	misclassGLM results

Documentation:

Reference manual:

misclassGLM.pdf

Downloads:

Package source:	misclassGLM_0.3.2.tar.gz
Windows binaries:	r-devel: misclassGLM_0.3.2.zip, r-release: misclassGLM_0.3.2.zip, r-oldrel: misclassGLM_0.3.2.zip
macOS binaries:	r-release (arm64): misclassGLM_0.3.2.tgz, r-oldrel (arm64): misclassGLM_0.3.2.tgz, r-release (x86_64): misclassGLM_0.3.2.tgz, r-oldrel (x86_64): misclassGLM_0.3.2.tgz
Old sources:	misclassGLM archive

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