Workflows for Health Technology Assessments in R using Discrete EveNts

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Documentation for package ‘WARDEN’ version 1.2.5

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

add_item	Define parameters that may be used in model calculations (list)
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
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_item, modify_item_seq, 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
luck_adj	Perform luck adjustment
modify_event	Modify the time of existing events
modify_item	Modify the value of existing items
modify_item_seq	Modify the value of existing items
new_event	Generate new events to be added to existing vector of events
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).
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
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
replicate_profiles	Replicate profiles data.frame
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
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)
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