estimate.hyperparams

input.matrix

parameter

n.sim

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.

Gianluca Baio

BCEA

Bayesian Cost Effectiveness Analysis

Andrea Berardi

Anna Heath

Nathan Green

estimate.hyperparams function

<dl><dt>x</dt>
<dd>x</dd>
<dt>input.matrix</dt>
<dd>Input matrix</dd>
<dt>parameter</dt>
<dd>Parameters</dd>
<dt>n.sim</dt>
<dd>Number of simulations</dd></dl>

Arguments

Estimate hyperparameters — estimate.hyperparams

<dl>

<dt>x</dt>
<dd>x</dd>


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


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


<dt>n.sim</dt>
<dd>Number of simulations</dd>

</dl>

Estimate hyperparameters

estimate.hyperparams: Estimate hyperparameters

Description

Usage

Arguments

See Also