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]>
LicenseGPL-3
Version0.2.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("misclassGLM")

Try the misclassGLM package in your browser

Any scripts or data that you put into this service are public.

misclassGLM documentation built on May 29, 2017, 9:21 p.m.