Analysis of Data with Mixed Measurement Error and Misclassification in Covariates
R package for Analysis of Data with Mixed Measurement Error and Miscla...
Analysis of Data with Mixed Measurement Error and Misclassification in...
Extract the coefficients from the fitted augSIMEX object
Score Value in Generalized Linear Model
Extract the likelihood from the fitted augSIMEX object
Plot of Extrapolation
Predict Method for the model fits by augSIMEX
Residuals of the Fits Made by augSIMEX
Summarizing the Adjusted Fits of Generalized Linear Model
Extract the variance-covariance matrix from the fitted augSIMEX object
Implementation of the augmented Simulation-Extrapolation (SIMEX) algorithm proposed by Yi et al. (2015) <doi:10.1080/01621459.2014.922777> for analyzing the data with mixed measurement error and misclassification. The main function provides a similar summary output as that of glm() function. Both parametric and empirical SIMEX are considered in the package.