post.density

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

post.density function

<dl><dt>hyperparams</dt>
<dd>Hyperparameters</dd>
<dt>parameter</dt>
<dd>Parameters</dd>
<dt>x</dt>
<dd>Response variable</dd>
<dt>input.matrix</dt>
<dd>Input data matrix</dd></dl>

Arguments

Gaussian Process Fitting — post.density

<dl>

<dt>hyperparams</dt>
<dd>Hyperparameters</dd>


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


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


<dt>input.matrix</dt>
<dd>Input data matrix</dd>

</dl>

Gaussian Process Fitting

post.density: Gaussian Process Fitting

Description

Usage

Arguments

See Also