MenSS                   MenSS economic data on STIs
anyBars                 An internal function to detect the random
                        effects component from an object of class
                        formula
coef.missingHE          Extract regression coefficient estimates from
                        objects in the class 'missingHE'
data_read_hurdle        A function to read and re-arrange the data in
                        different ways for the hurdle model
data_read_pattern       A function to read and re-arrange the data in
                        different ways
data_read_selection     A function to read and re-arrange the data in
                        different ways
diagnostic              Diagnostic checks for assessing MCMC
                        convergence of Bayesian models fitted in 'JAGS'
                        using the function 'selection', 'pattern' or
                        'hurdle'
fb                      An internal function to extract the random
                        effects component from an object of class
                        formula
hurdle                  Full Bayesian Models to handle missingness in
                        Economic Evaluations (Hurdle Models)
isAnyArgBar             An internal function to detect the random
                        effects component from an object of class
                        formula
isBar                   An internal function to detect the random
                        effects component from an object of class
                        formula
jagsresults             An internal function to summarise results from
                        BUGS model
nobars_                 An internal function to separate the fixed and
                        random effects components from an object of
                        class formula
pattern                 Full Bayesian Models to handle missingness in
                        Economic Evaluations (Pattern Mixture Models)
pic                     Predictive information criteria for Bayesian
                        models fitted in 'JAGS' using the funciton
                        'selection', 'pattern' or 'hurdle'
plot.missingHE          Plot method for the imputed data contained in
                        the objects of class 'missingHE'
ppc                     Posterior predictive checks for assessing the
                        fit to the observed data of Bayesian models
                        implemented in 'JAGS' using the function
                        'selection', 'pattern' or 'hurdle'
print.missingHE         Print method for the posterior results
                        contained in the objects of class 'missingHE'
prior_hurdle            An internal function to change the hyperprior
                        parameters in the hurdle model provided by the
                        user depending on the type of structural value
                        mechanism and outcome distributions assumed
prior_pattern           An internal function to change the hyperprior
                        parameters in the selection model provided by
                        the user depending on the type of missingness
                        mechanism and outcome distributions assumed
prior_selection         An internal function to change the hyperprior
                        parameters in the selection model provided by
                        the user depending on the type of missingness
                        mechanism and outcome distributions assumed
run_hurdle              An internal function to execute a JAGS hurdle
                        model and get posterior results
run_pattern             An internal function to execute a JAGS pattern
                        mixture model and get posterior results
run_selection           An internal function to execute a JAGS
                        selection model and get posterior results
selection               Full Bayesian Models to handle missingness in
                        Economic Evaluations (Selection Models)
summary.missingHE       Summary method for objects in the class
                        'missingHE'
write_hurdle            An internal function to select which type of
                        hurdle model to execute for both effectiveness
                        and costs.  Alternatives vary depending on the
                        type of distribution assumed for the effect and
                        cost variables, type of structural value
                        mechanism assumed and independence or joint
                        modelling This function selects which type of
                        model to execute.
write_pattern           An internal function to select which type of
                        pattern mixture model to execute.  Alternatives
                        vary depending on the type of distribution
                        assumed for the effect and cost variables, type
                        of missingness mechanism assumed and
                        independence or joint modelling This function
                        selects which type of model to execute.
write_selection         An internal function to select which type of
                        selection model to execute.  Alternatives vary
                        depending on the type of distribution assumed
                        for the effect and cost variables, type of
                        missingness mechanism assumed and independence
                        or joint modelling This function selects which
                        type of model to execute.
