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}.


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install.packages("misclassGLM")

0.2.0 by Stephan Dlugosz, 3 years ago


Browse source code at https://github.com/cran/misclassGLM


Authors: Stephan Dlugosz


Documentation:   PDF Manual  


GPL-3 license


Imports stats, Matrix, MASS, ucminf, numDeriv, bigmemory, foreach, mlogit

Suggests parallel


See at CRAN