GR_crit                 Gelman-Rubin criterion for convergence
JointAI                 JointAI: Joint Analysis and Imputation of
                        Incomplete Data
JointAIObject           Fitted object of class 'JointAI'
MC_error                Calculate and plot the Monte Carlo error
NHANES                  National Health and Nutrition Examination
                        Survey (NHANES) Data
PBC                     PBC data
add_samples             Continue sampling from an object of class
                        JointAI
clean_survname          Convert a survival outcome to a model name
default_hyperpars       Get the default values for hyper-parameters
densplot                Plot the posterior density from object of class
                        JointAI
extract_state           Return the current state of a 'JointAI' model
get_MIdat               Extract multiple imputed datasets from an
                        object of class JointAI
get_missinfo            Obtain a summary of the missing values involved
                        in an object of class JointAI
list_models             List model details
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.JointAI            Plot an object object inheriting from class
                        'JointAI'
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 data frame for prediction
predict.JointAI         Predict values from an object of class JointAI
print.Dmat              Summarize the results from an object of class
                        JointAI
rd_vcov                 Extract the random effects variance covariance
                        matrix Returns the posterior mean of the
                        variance-covariance matrix/matrices of the
                        random effects in a fitted JointAI object.
residuals.JointAI       Extract residuals from an object of class
                        JointAI
set_refcat              Specify 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
traceplot               Create traceplots for a MCMC sample
wideDF                  Cross-sectional example dataset
