misclassGLM: Computation of Generalized Linear Models with Misclassified Covariates Using Side Information (original) (raw)
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://www.zew.de/publikationen/generalised-partially-linear-regression-with-misclassified-data-and-an-application-to-labour-market-transitions>.
| Version: | 0.3.5 |
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| Depends: | R (≥ 3.0.0) |
| Imports: | stats, Matrix, MASS, ucminf, numDeriv, foreach, mlogit |
| Suggests: | parallel |
| Published: | 2023-11-19 |
| DOI: | 10.32614/CRAN.package.misclassGLM |
| Author: | Stephan Dlugosz |
| Maintainer: | Stephan Dlugosz <stephan.dlugosz at googlemail.com> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | misclassGLM results |
Documentation:
| Reference manual: | misclassGLM.pdf |
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Downloads:
| Package source: | misclassGLM_0.3.5.tar.gz |
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| Windows binaries: | r-devel: misclassGLM_0.3.5.zip, r-release: misclassGLM_0.3.5.zip, r-oldrel: misclassGLM_0.3.5.zip |
| macOS binaries: | r-release (arm64): misclassGLM_0.3.5.tgz, r-oldrel (arm64): misclassGLM_0.3.5.tgz, r-release (x86_64): misclassGLM_0.3.5.tgz, r-oldrel (x86_64): misclassGLM_0.3.5.tgz |
| Old sources: | misclassGLM archive |
Linking:
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