GR_crit                 Gelman-Rubin criterion for convergence
JointAI                 JointAI: Joint Analysis and Imputation of
                        Incomplete Data
JointAIObject           Fitted object of class JointAI
MC_error                Monte Carlo error
NHANES                  National Health and Nutrition Examination
                        Survey (NHANES) Data
add_samples             Add samples to an object of class JointAI
default_hyperpars       Get default values for hyperparameters
densplot                Plot posterior density from JointAI model
get_MIdat               Extract multiple imputed datasets
get_models              Set default (imputation) models and order
list_models             List imputation models
longDF                  Longitudinal example dataset
md_pattern              Missing data pattern
model_imp               Joint analysis and imputation of incomplete
                        data
parameters              Parameter names of an JointAI object
plot_all                Visualize the distribution of all variables in
                        the dataset
plot_imp_distr          Plot the distribution of observed and imputed
                        values
predDF                  Create a new dataframe for prediction
predict.JointAI         Predict values from an object of class JointAI
set_refcat              Set the reference categories for all
                        categorical covariates in the model
sharedParams            Parameters used by several functions in
                        JointAI.
simLong                 Simulated Longitudinal Data in Long and Wide
                        Format
summary.JointAI         Summary of an object of class JointAI
traceplot               Traceplot of a JointAI model
wideDF                  Cross-sectional example dataset
