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) \url{http://www.zew.de/PU70410}.

Version: 0.2.0
Depends: R (≥ 3.0.0)
Imports: stats, Matrix, MASS, ucminf, numDeriv, bigmemory, foreach, mlogit
Suggests: parallel
Published: 2016-09-03
Author: Stephan Dlugosz
Maintainer: Stephan Dlugosz <stephan.dlugosz at googlemail.com>
License: GPL-3
NeedsCompilation: yes
CRAN checks: misclassGLM results


Reference manual: misclassGLM.pdf
Package source: misclassGLM_0.2.0.tar.gz
Windows binaries: r-devel: misclassGLM_0.2.0.zip, r-release: misclassGLM_0.2.0.zip, r-oldrel: misclassGLM_0.2.0.zip
OS X El Capitan binaries: r-release: misclassGLM_0.2.0.tgz
OS X Mavericks binaries: r-oldrel: misclassGLM_0.2.0.tgz


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