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}.

Getting started

Package details

AuthorStephan Dlugosz
MaintainerStephan Dlugosz <[email protected]>
Package repositoryView on CRAN
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misclassGLM documentation built on May 29, 2017, 9:21 p.m.