summary.gfit

This function calculates the p-value of the goodness-of-fit test from an 
 object of class <code>"gfit"</code>.

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

summary.gfit function

<dl> <dt>object</dt>
<dd>an object of class <code>"gfit"</code>.</dd> <dt>...</dt>
<dd>other parameters passed to <code>summary</code>.</dd></dl>

Arguments

This function calculates the p-value of the goodness-of-fit test from an 
 object of class <code>"gfit"</code>.

Calculates the p-value of the goodness-of-fit test. — summary.gfit

<dl>

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

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

</dl>

summary.gfit: Calculates the p-value of the goodness-of-fit test.

Description

Usage

Value

Arguments

Details

See Also

Examples