Function reference • inlamemi

Fit inlamemi model

fit_inlamemi(): Fit model for measurement error and missing data in INLA

Datasets

framingham: Framingham heart study data

nhanes_survival: Survival data with repeated systolic blood pressure measurements

simple_data: Simple simulated data

two_error_data: Simulated data with two covariates with classical measurement error

mar_data: Simulated data with observation missing at random (MAR)

Summary, plot, etc.

summary(<inlamemi>) print(<summary.inlamemi>): Summary method for inlamemi

plot(<inlamemi>): Plot model summary

show_data_structure(): Visualize the model data structure as matrices

Under the hood functions

Functions called by the model fitting function and the summary/print functions. In some cases, they may be useful to call directly.

extract_random_effects(): Extract random effects from formula

extract_variables_from_formula(): Extract and group variables from formulas

make_inlamemi_control.family(): Make "control.family" argument for passing to the "inla" function

make_inlamemi_families(): Make vector of likelihood families

make_inlamemi_formula(): Make formula for measurement error and missing data model

make_inlamemi_scaling_vector(): Construct scaling vector to scale the precision of correctly observed observations

make_inlamemi_stacks(): Make data stacks for joint model specification in INLA

inla_survival_families(): List the survival likelihoods in INLA

simplify_inlamemi_model_summary(): Simplify the "raw" model summary for printing and plotting