struct.psa {BCEA} | R Documentation |
Computes the weights to be associated with a set of competing models in order to perform structural PSA.
struct.psa( models, effect, cost, ref = NULL, interventions = NULL, Kmax = 50000, plot = FALSE )
models |
A list containing the output from either R2jags or R2WinBUGS for all the models that need to be combined in the model average |
effect |
A list containing the measure of effectiveness computed from the various models (one matrix with n.sim x n.ints simulations for each model) |
cost |
A list containing the measure of costs computed from the various models (one matrix with n.sim x n.ints simulations for each model) |
ref |
Which intervention is considered to be the reference
strategy. The default value |
interventions |
Defines the labels to be associated with each
intervention. By default and if |
Kmax |
Maximum value of the willingness to pay to be considered.
Default value is |
plot |
A logical value indicating whether the function should produce the summary plot or not |
The model is a list containing the output from either R2jags or R2WinBUGS for all the models that need to be combined in the model average effect is a list containing the measure of effectiveness computed from the various models (one matrix with n_sim x n_ints simulations for each model) cost is a list containing the measure of costs computed from the various models (one matrix with n_sim x n_ints simulations for each model).
List object of bcea object, model weights and DIC
Gianluca Baio
Baio G. (2012). Bayesian Methods in Health Economics. CRC/Chapman Hall, London.