add_item                Define or append model inputs
add_item2               Define parameters that may be used in model
                        calculations (uses expressions)
add_reactevt            Define the modifications to other events,
                        costs, utilities, or other items affected by
                        the occurrence of the event
add_tte                 Define events and the initial event time
adj_val                 Adjusted Value Calculation
ast_as_list             Transform a substituted expression to its
                        Abstract Syntax Tree (AST) as a list
ceac_des                Calculate the cost-effectiveness acceptability
                        curve (CEAC) for a DES model with a PSA result
cond_dirichlet          Calculate conditional dirichlet values
cond_mvn                Calculate conditional multivariate normal
                        values
create_indicators       Creates a vector of indicators (0 and 1) for
                        sensitivity/DSA analysis
disc_cycle              Cycle discounting
disc_cycle_v            Cycle discounting for vectors
disc_instant            Calculate instantaneous discounted costs or
                        qalys
disc_instant_v          Calculate instantaneous discounted costs or
                        qalys for vectors
disc_ongoing            Calculate discounted costs and qalys between
                        events
disc_ongoing_v          Calculate discounted costs and qalys between
                        events for vectors
discrete_resource_clone
                        Clone independent discrete resources
draw_tte                Draw a time to event from a list of parametric
                        survival functions
evpi_des                Calculate the Expected Value of Perfect
                        Information (EVPI) for a DES model with a PSA
                        result
extract_elements_from_list
                        Extracts items and events by looking into
                        assignments, modify_event and new_event
extract_from_reactions
                        Extract all items and events and their
                        interactions from the event reactions list
extract_psa_result      Extract PSA results from a treatment
get_event               Get a specific event time
has_event               Check if a patient has a specific event in the
                        queue
input_block             Build an input block for automatic parameter
                        selection
luck_adj                Perform luck adjustment
modify_event            Modify or add events for a patient
modify_item             Modify the value of existing items
modify_item_seq         Modify the value of existing items
new_event               Add events to the queue for a patient
next_event              Get the next events in the queue
next_event_pt           Get the next events in the queue for a specific
                        patient
pcond_gompertz          Survival Probaility function for conditional
                        Gompertz distribution (lower bound only)
pick_psa                Helper function to create a list with random
                        draws or whenever a series of functions needs
                        to be called. Can be implemented within
                        'pick_val_v'.
pick_val_v              Select which values should be applied in the
                        corresponding loop for several values (vector
                        or list).
pop_and_return_event    Pop and return the next event
pop_event               Remove the next event from the queue
qbeta_mse               Draw from a beta distribution based on mean and
                        se (quantile)
qcond_exp               Conditional quantile function for exponential
                        distribution
qcond_gamma             Conditional quantile function for gamma
                        distribution
qcond_gompertz          Quantile function for conditional Gompertz
                        distribution (lower bound only)
qcond_llogis            Conditional quantile function for loglogistic
                        distribution
qcond_lnorm             Conditional quantile function for lognormal
                        distribution
qcond_norm              Conditional quantile function for normal
                        distribution
qcond_weibull           Conditional quantile function for weibull
                        distribution
qcond_weibullPH         Conditional quantile function for WeibullPH
                        (flexsurv)
qgamma_mse              Use quantiles from a gamma distribution based
                        on mean and se
qtimecov                Draw time-to-event with time-dependent
                        covariates and luck adjustment
queue_create            Create a New Event Queue
queue_empty             Check if the event queue is empty
queue_size              Get the Size of the Event Queue
random_stream           Creates an environment (similar to R6 class) of
                        random uniform numbers to be drawn from
rbeta_mse               Draw from a beta distribution based on mean and
                        se
rcond_gompertz          Draw from a conditional Gompertz distribution
                        (lower bound only)
rcond_gompertz_lu       Draw from a conditional Gompertz distribution
                        (lower and upper bound)
rdirichlet              Draw from a dirichlet distribution based on
                        number of counts in transition. Adapted from
                        brms::rdirichlet
rdirichlet_prob         Draw from a dirichlet distribution based on
                        mean transition probabilities and standard
                        errors
remove_event            Remove events for a patient
replicate_profiles      Replicate profiles data.frame
resource_discrete       Create a discrete resource
rgamma_mse              Draw from a gamma distribution based on mean
                        and se
rpoisgamma              Draw time to event (tte) from a Poisson or
                        Poisson-Gamma (PG) Mixture/Negative Binomial
                        (NB) Process
rpoisgamma_rcpp         Draw time to event (tte) from a Poisson or
                        Poisson-Gamma (PG) Mixture/Negative Binomial
                        (NB) Process using C++
run_sim                 Run the simulation
run_sim_parallel        Run simulations in parallel mode (at the
                        simulation level)
sens_iterator           Create an iterator based on sens of the current
                        iteration within a scenario (DSA)
shared_input            Shared input object
summary_results_det     Deterministic results for a specific treatment
summary_results_sens    Summary of sensitivity outputs for a treatment
summary_results_sim     Summary of PSA outputs for a treatment
tte.df                  Example TTE IPD data
