ceac: Cost-Effectiveness Acceptability Curves (CEAC)
In feralaes/dampack: Package with useful decision-analytic modeling tools
Description
Usage
Arguments
Value
Details
Description
ceac is used to compute and plot the cost-effectiveness acceptability
curves (CEAC) from a probabilistic sensitivity analysis (PSA) dataset.
Usage
1
Arguments
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.
Value
ceac A melted data frame with each strategy's probability of being
cost-effective at each WTP threshold.
Details
ceac computes the probability of each of the strategies being
cost-effective at each wtp threshold.
feralaes/dampack documentation built on May 16, 2019, 12:48 p.m.
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Description Usage Arguments Value Details
Description
ceac is used to compute and plot the cost-effectiveness acceptability
curves (CEAC) from a probabilistic sensitivity analysis (PSA) dataset.
Usage
1 |
Arguments
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. |
Value
ceac A melted data frame with each strategy's probability of being cost-effective at each WTP threshold.
Details
ceac computes the probability of each of the strategies being
cost-effective at each wtp threshold.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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