Missing Data and Measurement Error Modelling in INLA
Extract model coefficients
Extract random effects from formula
Extract and group variables from formulas
Fit model for measurement error and missing data in INLA
Extract coefficients for the imputation model (IMP)
Extract coefficients for the missingness model (MIS)
Extract coefficients for the model of interest (MOI)
Extract imputed values
List the survival likelihoods in INLA
Make "control.family" argument for passing to the "inla" function
Make vector of likelihood families
Make formula for measurement error and missing data model
Construct scaling vector to scale the precision of correctly observed ...
Make data stacks for joint model specification in INLA
Plot model summary
Print method for inlamemi
Visualize the model data structure as matrices in LaTeX
Simplify the "raw" model summary for printing and plotting
Summary method for inlamemi
Facilitates fitting measurement error and missing data imputation models using integrated nested Laplace approximations, according to the method described in Skarstein, Martino and Muff (2023) <doi:10.1002/bimj.202300078>. See Skarstein and Muff (2024) <doi:10.48550/arXiv.2406.08172> for details on using the package.