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) <https://ftp.zew.de/pub/zew-docs/dp/dp15043.pdf>.
Version: | 0.3.6 |
Depends: | R (≥ 3.0.0) |
Imports: | stats, Matrix, MASS, ucminf, numDeriv, foreach, mlogit |
Suggests: | parallel |
Published: | 2025-09-03 |
DOI: | 10.32614/CRAN.package.misclassGLM |
Author: | Stephan Dlugosz [aut, cre] |
Maintainer: | Stephan Dlugosz <stephan.dlugosz at googlemail.com> |
License: | GPL-3 |
NeedsCompilation: | yes |
Materials: | README |
CRAN checks: | misclassGLM results |
Reference manual: | misclassGLM.html , misclassGLM.pdf |
Package source: | misclassGLM_0.3.6.tar.gz |
Windows binaries: | r-devel: misclassGLM_0.3.6.zip, r-release: misclassGLM_0.3.5.zip, r-oldrel: misclassGLM_0.3.6.zip |
macOS binaries: | r-release (arm64): misclassGLM_0.3.5.tgz, r-oldrel (arm64): misclassGLM_0.3.5.tgz, r-release (x86_64): misclassGLM_0.3.6.tgz, r-oldrel (x86_64): misclassGLM_0.3.6.tgz |
Old sources: | misclassGLM archive |
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