misclassGLM: Computation of Generalized Linear Models with Misclassified Covariates Using Side Information
Version 0.2.0

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
Date of publication2016-09-03 16:39:16
MaintainerStephan Dlugosz <[email protected]>
Package repositoryView on CRAN
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misclassGLM documentation built on May 29, 2017, 9:21 p.m.