R: Missing Data and Measurement Error Modelling in INLA

# Missing Data and Measurement Error Modelling in INLA

## Documentation for package ‘inlamemi’ version 1.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

coef.inlamemi | Extract model coefficients
fit_inlamemi | Fit model for measurement error and missing data in INLA
framingham | Framingham heart study data
get_coef_imp | Extract coefficients for the imputation model (IMP)
get_coef_mis | Extract coefficients for the missingness model (MIS)
get_coef_moi | Extract coefficients for the model of interest (MOI)
get_imputed | Extract imputed values
mar_data | Simulated data with observation missing at random (MAR)
nhanes_survival | Survival data with repeated systolic blood pressure measurements
plot.inlamemi | Plot model summary
print.inlamemi | Print method for inlamemi
print.summary.inlamemi | Summary method for inlamemi
show_data_structure | Visualize the model data structure as matrices in LaTeX
simple_data | Simple simulated data
summary.inlamemi | Summary method for inlamemi
two_error_data | Simulated data with two covariates with classical measurement error