misclassGLM: Computation of Generalized Linear Models with Misclassified Covariates Using Side Information
Version 0.2.0

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}.

AuthorStephan Dlugosz
Date of publication2016-09-03 16:39:16
MaintainerStephan Dlugosz <stephan.dlugosz@googlemail.com>
LicenseGPL-3
Version0.2.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("misclassGLM")

Popular man pages

boot.misclassGLM: Compute Bootstrapped Standard Errors for 'misclassGLM' Fits
mfx.misclassGLM: Compute Marginal Effects for 'misclassGLM' Fits
mfx.misclassMlogit: Compute Marginal Effects for 'misclassMlogit' Fits
misclassGLM: misclassGLM
misclassMlogit: Mlogit estimation under misclassified covariate
simulate_GLM_dataset: Simulate a Data Set to Use With 'misclassGLM'
simulate_mlogit_dataset: Simulate a Data Set to Use With 'misclassMlogit'
See all...

All man pages Function index File listing

Man pages

boot.misclassGLM: Compute Bootstrapped Standard Errors for 'misclassGLM' Fits
boot.misclassMlogit: Compute Bootstrapped Standard Errors for 'misclassMlogit'...
mfx.misclassGLM: Compute Marginal Effects for 'misclassGLM' Fits
mfx.misclassMlogit: Compute Marginal Effects for 'misclassMlogit' Fits
misclassGLM: misclassGLM
misclassMlogit: Mlogit estimation under misclassified covariate
predict.misclassGLM: Predict Method for 'misclassGLM' Fits
predict.misclassMlogit: Predict Method for 'misclassMlogit' Fits
simulate_GLM_dataset: Simulate a Data Set to Use With 'misclassGLM'
simulate_mlogit_dataset: Simulate a Data Set to Use With 'misclassMlogit'

Functions

boot.misclassGLM Man page Source code
boot.misclassMlogit Man page Source code
bootstrapping Source code
cfgaussValidation Source code
cflogitValidation Source code
cfmlogitValidation Source code
cggaussValidation Source code
cglogitValidation Source code
cgmlogitValidation Source code
df.residual.misclassGLM Source code
estimateRobustSE Source code
fit.algorithm Source code
fprobitValidation Source code
get.eta Source code
gprobitValidation Source code
make.control Source code
mfx.misclassGLM Man page Source code
mfx.misclassMlogit Man page Source code
misclassGLM Man page Source code
misclassGLM-package Man page
misclassMlogit Man page Source code
predict.misclassGLM Man page Source code
predict.misclassMlogit Man page Source code
print.summary.misclassGLM Source code
print.summary.misclassMlogit Source code
simulate_GLM_dataset Man page Source code
simulate_mlogit_dataset Man page Source code
summary.misclassGLM Source code
summary.misclassMlogit Source code
vcov.misclassGLM Source code
vcov.misclassMlogit Source code

Files

src
src/misclassGLMhelper.c
NAMESPACE
R
R/misclassMLogit.R
R/misclassGLM-package.R
R/misclassMlogitHelper.R
R/common.R
R/misclassGLMhelper.R
R/misclassGLM.R
MD5
DESCRIPTION
man
man/simulate_GLM_dataset.Rd
man/boot.misclassGLM.Rd
man/misclassMlogit.Rd
man/mfx.misclassGLM.Rd
man/mfx.misclassMlogit.Rd
man/misclassGLM.Rd
man/predict.misclassMlogit.Rd
man/simulate_mlogit_dataset.Rd
man/predict.misclassGLM.Rd
man/boot.misclassMlogit.Rd
misclassGLM documentation built on May 19, 2017, 8:04 p.m.

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