compute_U

Sample of net (monetary) benefit for each
willingness-to-pay threshold and intervention.

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_U function

<dl><dt>df_ce</dt>
<dd>Cost-effectiveness dataframe</dd>
<dt>k</dt>
<dd>Willingness to pay vector</dd></dl>

Arguments

Compute U Statistic — compute_U

<dl>

<dt>df_ce</dt>
<dd>Cost-effectiveness dataframe</dd>


<dt>k</dt>
<dd>Willingness to pay vector</dd>

</dl>

compute_U: Compute U Statistic

Description

Usage

Value

Arguments