forecast.class

See the function <code><a rd-options="" href="/link/forecast?package=CaliCo&version=0.1.1" data-mini-rdoc="CaliCo::forecast">forecast</a></code> which produces an instance of this class
This class comes with a set of methods, some of them being useful for the user:
See the documentation for <code><a rd-options="" href="/link/forecast?package=CaliCo&version=0.1.1" data-mini-rdoc="CaliCo::forecast">forecast</a></code>... Other methods
should not be called as they are designed to be used during the calibration process.
Fields should not be changed or manipulated by the user as they are updated internally
during the estimation process.

datasets

Calibration of every computational code. It uses a Bayesian framework to rule the estimation. With a new data set, the prediction will create a prevision set taking into account the new calibrated parameters. The choices between several models is also available. The methods are described in the paper Carmassi et al. (2018) <arXiv:1801.01810>.

Mathieu Carmassi

CaliCo

Code Calibration in a Bayesian Framework

forecast.class function

An object of class <code>R6ClassGenerator</code> of length 24.

Format

<dl class="dl-horizontal">
<dt><code>modelfit</code></dt><dd>a <code><a rd-options="" href="/link/calibrate.class?package=CaliCo&version=0.1.1" data-mini-rdoc="CaliCo::calibrate.class">calibrate.class</a></code> object generated by <code><a rd-options="" href="/link/calibrate?package=CaliCo&version=0.1.1" data-mini-rdoc="CaliCo::calibrate">calibrate</a></code></dd></dl><dt><code>md.new</code></dt><dd>the new model created with the MAP estimator</dd><dt><code>x.new</code></dt><dd>a new data set (according to the data set used for calibration)</dd>

Fields

See the function <code><a rd-options='' href='forecast'>forecast</a></code> which produces an instance of this class
This class comes with a set of methods, some of them being useful for the user:
See the documentation for <code><a rd-options='' href='forecast'>forecast</a></code>... Other methods
should not be called as they are designed to be used during the calibration process.
Fields should not be changed or manipulated by the user as they are updated internally
during the estimation process.

forecast.class: A Reference Class to generates differents `forecast.class` objects

Description

Usage

Arguments

Format

Fields