R: Analysis of Data with Mixed Measurement Error and Misclassification in Covariates

# Analysis of Data with Mixed Measurement Error and Misclassification in Covariates

## Documentation for package ‘augSIMEX’ version 3.7.4

- DESCRIPTION file.

## Help Pages

augSIMEX-package | R package for Analysis of Data with Mixed Measurement Error and Misclassification in Covariates
augSIMEX | Analysis of Data with Mixed Measurement Error and Misclassification in Covariates
coef.augSIMEX | Extract the coefficients from the fitted augSIMEX object
GeneRepeat | Example data for univariate error-prone covariates in repeated measurements case
GeneUni | Example of genetic data for univariate error-prone covariates
glmscore | Score Value in Generalized Linear Model
logLik.augSIMEX | Extract the likelihood from the fitted augSIMEX object
plot.augSIMEX | Plot of Extrapolation
predict.augSIMEX | Predict Method for the model fits by augSIMEX
residuals.augSIMEX | Residuals of the Fits Made by augSIMEX
summary.augSIMEX | Summarizing the Adjusted Fits of Generalized Linear Model
ToyMult | Toy example data for multivariate error-prone covariates
ToyRepeat | Toy example data for univariate error-prone covariates in repeated measurements case
ToyUni | Toy example data for univariate error-prone covariates
vcov.augSIMEX | Extract the variance-covariance matrix from the fitted augSIMEX object