compute_kstar

Find willingness-to-pay threshold when optimal decision changes.

Produces an economic evaluation of a sample of suitable variables of
cost and effectiveness / utility for two or more interventions,
e.g. from a Bayesian model in the form of MCMC simulations.
This package computes the most cost-effective alternative and
produces graphical summaries and probabilistic sensitivity analysis,
see Baio et al (2017) <doi:10.1007/978-3-319-55718-2>.

Gianluca Baio

BCEA

Bayesian Cost Effectiveness Analysis

Andrea Berardi

Anna Heath

Nathan Green

compute_kstar function

<dl><dt>k</dt>
<dd>Willingness-to-pay grid approximation of the budget willing to invest (vector)</dd>
<dt>best</dt>
<dd>Best intervention for each <code>k</code> (int)</dd>
<dt>ref</dt>
<dd>Reference intervention (int)</dd></dl>

Arguments

Compute k^* — compute_kstar

<dl>

<dt>k</dt>
<dd>Willingness-to-pay grid approximation of the budget willing to invest (vector)</dd>


<dt>best</dt>
<dd>Best intervention for each <code>k</code> (int)</dd>


<dt>ref</dt>
<dd>Reference intervention (int)</dd>

</dl>

compute_kstar: Compute k^*

Description

Usage

Value

Arguments

Details

See Also