compute_kstar: Compute k^*
In giabaio/BCEA: Bayesian Cost Effectiveness Analysis
compute_kstar R Documentation
Compute k^*
Description
Find willingness-to-pay threshold when optimal decision changes.
Usage
compute_kstar(k, best, ref)
Arguments
k
Willingness-to-pay grid approximation of the budget willing to invest (vector)
best
Best intervention for each k (int)
ref
Reference intervention (int)
Details
k^* := \min\{k : IB < 0 \}
The value of the break-even point corresponds to the ICER and quantifies
the point at which the decision-maker is indifferent between the two options.
Value
integer representing intervention
See Also
ceac.plot()
giabaio/BCEA documentation built on March 27, 2024, 5:32 p.m.
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| compute_kstar | R Documentation |
Compute k^*
Description
Find willingness-to-pay threshold when optimal decision changes.
Usage
compute_kstar(k, best, ref)
Arguments
k |
Willingness-to-pay grid approximation of the budget willing to invest (vector) |
best |
Best intervention for each |
ref |
Reference intervention (int) |
Details
k^* := \min\{k : IB < 0 \}
The value of the break-even point corresponds to the ICER and quantifies the point at which the decision-maker is indifferent between the two options.
Value
integer representing intervention
See Also
ceac.plot()
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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