summary.calibrar.results

Summary for calibration results object

internal

General optimisation and specific tools for the parameter estimation (i.e. calibration) of complex models, including stochastic ones. It implements generic functions that can be used for fitting any type of models, especially those with non-differentiable objective functions, with the same syntax as base::optim.
It supports multiple phases estimation (sequential parameter masking), constrained optimization (bounding box restrictions) and automatic parallel computation of numerical gradients.
Some common maximum likelihood estimation methods and automated construction of the objective function from simulated model outputs is provided.
See <https://roliveros-ramos.github.io/calibrar/> for more details.

Ricardo OliverosRamos

calibrar

Automated Parameter Estimation for Complex Models

Ricardo Oliveros-Ramos

summary.calibrar.results function

<dl><dt>object</dt>
<dd>Object of class calibrar.results</dd>
<dt>...</dt>
<dd>More objects of class calibrar.results as needed for comparisons.</dd>
<dt>show_par</dt>
<dd>Vector of names of positions of the parameters to show in the summary.</dd>
<dt>par.only</dt>
<dd>Show only parameters in the summary, used when more than one optimization results are summarized.</dd></dl>

Arguments

Summary for calibration results object — summary.calibrar.results

<dl>

<dt>object</dt>
<dd>Object of class calibrar.results</dd>


<dt>...</dt>
<dd>More objects of class calibrar.results as needed for comparisons.</dd>


<dt>show_par</dt>
<dd>Vector of names of positions of the parameters to show in the summary.</dd>


<dt>par.only</dt>
<dd>Show only parameters in the summary, used when more than one optimization results are summarized.</dd>

</dl>

summary.calibrar.results: Summary for calibration results object

Description

Usage

Arguments