plot.gfit

Plotting method for goodness-of-fit ABC objects.

Implements several ABC algorithms for
performing parameter estimation, model selection, and goodness-of-fit.
Cross-validation tools are also available for measuring the
accuracy of ABC estimates, and to calculate the
misclassification probabilities of different models.

Blum Michael

Tools for Approximate Bayesian Computation (ABC)

Csillery Katalin

Lemaire Louisiane

Francois Olivier

plot.gfit function

<dl> <dt>x</dt>
<dd>an object of class <code>"gfit"</code>.</dd> <dt>breaks</dt>
<dd>number of cells for the histogram. Defaults to "Freedman-Diaconis".</dd> <dt>main</dt>
<dd>title for the plot</dd> <dt>...</dt>
<dd>other parameters passed to <code>plot</code>.</dd></dl>

Arguments

Plotting method for goodness-of-fit ABC objects.

Goodness-of-fit plot for ABC — plot.gfit

<dl>

 <dt>x</dt>
<dd>an object of class <code>"gfit"</code>.</dd>

 <dt>breaks</dt>
<dd>number of cells for the histogram. Defaults to "Freedman-Diaconis".</dd>

 <dt>main</dt>
<dd>title for the plot</dd>

 <dt>...</dt>
<dd>other parameters passed to <code>plot</code>.</dd>

</dl>

plot.gfit: Goodness-of-fit plot for ABC

Description

Usage

Arguments

Details

See Also

Examples