compute_eib_cri

For expected incremental benefit plot.

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_eib_cri function

<dl><dt>he</dt>
<dd>A <code>bcea</code> object containing the results of the Bayesian
modelling and the economic evaluation.</dd>
<dt>alpha_cri</dt>
<dd>Significance level, 0 - 1</dd>
<dt>cri.quantile</dt>
<dd>Credible interval quantile?; logical</dd></dl>

Arguments

Calculate Credible Intervals — compute_eib_cri

<dl>

<dt>he</dt>
<dd>A <code>bcea</code> object containing the results of the Bayesian
modelling and the economic evaluation.</dd>


<dt>alpha_cri</dt>
<dd>Significance level, 0 - 1</dd>


<dt>cri.quantile</dt>
<dd>Credible interval quantile?; logical</dd>

</dl>

compute_eib_cri: Calculate Credible Intervals

Description

Usage

Value

Arguments