calibration_setup

A wrapper for <code>read.csv</code> checking column names and data types 
for the table with the calibration information.

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

calibration_setup function

<dl><dt>file</dt>
<dd>The file with the calibration information, see details.</dd>
<dt>control</dt>
<dd>Control arguments for generating the setup. See details.</dd>
<dt>...</dt>
<dd>Additional arguments to <code>read.csv</code> function.</dd></dl>

Arguments

Author

Get information to run a calibration using the calibrar package. — calibration_setup

<dl>

<dt>file</dt>
<dd>The file with the calibration information, see details.</dd>


<dt>control</dt>
<dd>Control arguments for generating the setup. See details.</dd>


<dt>...</dt>
<dd>Additional arguments to <code>read.csv</code> function.</dd>

</dl>

calibration_setup: Get information to run a calibration using the `calibrar` package.

Description

Usage

Value

Arguments

Author

See Also