ceac | R Documentation |
ceac
is used to compute and plot the cost-effectiveness acceptability
curves (CEAC) from a probabilistic sensitivity analysis (PSA) dataset.
ceac(wtp, strategies = NULL, Outcomes)
wtp |
Numeric vector with willingness-to-pay (WTP) thresholds |
strategies |
String vector with the name of the strategies |
Outcomes |
Matrix with the model outputs. The outcomes must be ordered in such a way that for each strategy the cost must appear first then the effectiveness. |
ceac A melted data frame with each strategy's probability of being cost-effective at each WTP threshold.
ceac
computes the probability of each of the strategies being
cost-effective at each wtp
threshold.
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