add_contours

internal

aplot

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

add_contours function

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

Arguments

Add Contours to Base R Plot — add_contours

<dl>

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


<dt>params</dt>
<dd>List</dd>

</dl>

Add Contours to Base R Plot

add_contours: Add Contours to Base R Plot

Description

Usage

Value

Arguments