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misclassGLM
View on CRAN: Click
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Download and install misclassGLM package within the R console
Install from CRAN:
install.packages("misclassGLM")
Install from Github:
library("remotes")
install_github("cran/misclassGLM") Install by package version:
library("remotes")
install_version("misclassGLM", "0.3.6") Attach the package and use:
library("misclassGLM")
Maintained by
Stephan Dlugosz
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-09-03
Latest Update: 2025-09-03
Description:
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) .
How to cite:
Stephan Dlugosz (2016). misclassGLM: Computation of Generalized Linear Models with Misclassified Covariates Using Side Information. R package version 0.3.6, https://cran.r-project.org/web/packages/misclassGLM. Accessed 10 Mar. 2026.
Previous versions and publish date:
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Complete documentation for misclassGLM
Functions, R codes and Examples using
the misclassGLM R package
Some associated functions: boot.misclassGLM . boot.misclassMlogit . mfx.misclassGLM . mfx.misclassMlogit . misclassGLM-package . misclassGLM . misclassMlogit . predict.misclassGLM . predict.misclassMlogit . simulate_GLM_dataset . simulate_mlogit_dataset .
Some associated R codes: common.R . main.R . misclassGLM-package.R . misclassGLMhelper.R . misclassMLogit.R . misclassMlogitHelper.R . Full misclassGLM package functions and examples
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