public void test_AIC()
{
/*Result calculated with R.*/
List <double> y = new List <double>()
{
1, 2.2, 3.1, 2.5
};
List <double> x1 = new List <double>()
{
177, 175, 183, 167
};
List <double> x2 = new List <double>()
{
3, 5, 6, 9
};
List <List <double> > x = new List <List <double> >()
{
x1, x2
};
Assert.AreEqual(-4.032542, Math.Round(ModelFit.AIC(y, x), 6));
}
/// <summary>
/// returns the akaike information criteria value for model m.
/// </summary>
/// <exception cref="ArgumentException">Thrown when any variable in the model has
/// different number of obesrvations.</exception>
public double EvaluateFitness(Model m)
{
return(ModelFit.AIC(m.getYVar().values, m.getXVariableLists()));
}