createObjectiveFunction-defunct

Create a new function, to be used as the objective function in the 
calibration, given a function to run the model within R, observed data 
and information about the comparison with data.

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

createObjectiveFunction-defunct function

<dl><dt>runModel</dt>
<dd>Function to run the model and produce a list of outputs.</dd>
<dt>info</dt>
<dd>A data.frame with the information about the calibration, 
normally created with the <code>getCalibrationInfo</code> function. 
See details.</dd>
<dt>observed</dt>
<dd>A list of the observed variables created with the 
function <code>getObservedData</code></dd>
<dt>aggFn</dt>
<dd>A function to aggregate <code>fn</code> to a scalar value if the
returned value is a vector. Some optimization algorithm can explote the
additional information provided by a vectorial output from <code>fn</code></dd>
<dt>aggregate</dt>
<dd>boolean, if TRUE, a scalar value is returned using the 
<code>aggFn</code>.</dd>
<dt>...</dt>
<dd>More arguments passed to the <code>runModel</code> function.</dd></dl>

Arguments

Author

Create an objective function to be used with optimization routines — createObjectiveFunction-defunct

<dl>

<dt>runModel</dt>
<dd>Function to run the model and produce a list of outputs.</dd>


<dt>info</dt>
<dd>A data.frame with the information about the calibration, 
normally created with the <code>getCalibrationInfo</code> function. 
See details.</dd>


<dt>observed</dt>
<dd>A list of the observed variables created with the 
function <code>getObservedData</code></dd>


<dt>aggFn</dt>
<dd>A function to aggregate <code>fn</code> to a scalar value if the
returned value is a vector. Some optimization algorithm can explote the
additional information provided by a vectorial output from <code>fn</code></dd>


<dt>aggregate</dt>
<dd>boolean, if TRUE, a scalar value is returned using the 
<code>aggFn</code>.</dd>


<dt>...</dt>
<dd>More arguments passed to the <code>runModel</code> function.</dd>

</dl>

createObjectiveFunction-defunct: Create an objective function to be used with optimization routines

Description

Value

Arguments

Author

See Also