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>.
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