Calculate Expected Values for Each Node of Decision Tree

Source: R/calc_expectedValues.R

Takes an object of class costeffectiveness_tree.

calc_expectedValues(osNode)

# S3 method for default
calc_expectedValues(osNode)

# S3 method for costeffectiveness_tree
calc_expectedValues(osNode)

Arguments

osNode

Value

osNode

See also

costeffectiveness_tree, payoff

Examples

# NOT RUN {
## read-in decision tree
osNode <- costeffectiveness_tree(yaml_tree = "raw data/LTBI_dtree-cost-distns.yaml")
print(osNode, "type", "p", "distn", "mean", "sd")

## calculate a single realisation expected values
osNode <- calc_expectedValues(osNode)
print(osNode, "type", "p", "distn", "mean", "sd", "payoff", "sampled")

## calculate multiple realisation for specific nodes
MonteCarlo_expectedValues(osNode, n=100)
# }