fit.inla

internal

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

fit.inla function

<dl><dt>parameter</dt>
<dd>Parameters</dd>
<dt>inputs</dt>
<dd>Inputs</dd>
<dt>x</dt>
<dd>Response variable</dd>
<dt>mesh</dt>
<dd>Mesh</dd>
<dt>data.scale</dt>
<dd>data.scale</dd>
<dt>int.ord</dt>
<dd>int.ord</dd>
<dt>convex.inner</dt>
<dd>convex.inner</dd>
<dt>convex.outer</dt>
<dd>convex.outer</dd>
<dt>cutoff</dt>
<dd>Cut-off</dd>
<dt>max.edge</dt>
<dd>Maximum edge</dd>
<dt>h.value</dt>
<dd>h.value</dd>
<dt>family</dt>
<dd>family</dd></dl>

Arguments

Fit using INLA — fit.inla

<dl>

<dt>parameter</dt>
<dd>Parameters</dd>


<dt>inputs</dt>
<dd>Inputs</dd>


<dt>x</dt>
<dd>Response variable</dd>


<dt>mesh</dt>
<dd>Mesh</dd>


<dt>data.scale</dt>
<dd>data.scale</dd>


<dt>int.ord</dt>
<dd>int.ord</dd>


<dt>convex.inner</dt>
<dd>convex.inner</dd>


<dt>convex.outer</dt>
<dd>convex.outer</dd>


<dt>cutoff</dt>
<dd>Cut-off</dd>


<dt>max.edge</dt>
<dd>Maximum edge</dd>


<dt>h.value</dt>
<dd>h.value</dd>


<dt>family</dt>
<dd>family</dd>

</dl>

Fit using INLA

fit.inla: Fit using INLA

Description

Usage

Value

Arguments

See Also