include/aic.h File Reference

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Functions
double	aicSS (double ss, int n, int k)
int	aicWeights (double *aic, double *w, int n)
double	aicWeightedAvg (double *w, double *p, int n)
double	aicModel (double *w, int n)

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Function Documentation

double aicModel	(	double *	w,
		int	n
	)

Calculates a value describing the relative goodness of models, based on an array of model weights.

Returns:

Returns the weighted average of model number.

Parameters:

w	Array of weights
n	Length of array

Definition at line 134 of file aic.c.

double aicSS	(	double	ss,
		int	n,
		int	k
	)

Computation of AIC in the special case of sum-of-squares optimization from the SS, nr of fitted points and nr of fitted parameters. If variance is different between the data points, weighted SS must be given.

Returns:

Returns the AIC value.

Parameters:

ss	Sum-of-Squares of the fit
n	Sample size, i.e. nr of fitted data points
k	Number of fitted model parameters

Definition at line 54 of file aic.c.

double aicWeightedAvg	(	double *	w,
		double *	p,
		int	n
	)

Computation of the Akaike weighted model parameter average. Requires arrays of AIC weight values, and corresponding parameter values.

Returns:

Returns the weighted average.

Parameters:

w	Array of weights
p	Array of parameters
n	Lengths of arrays

Definition at line 111 of file aic.c.

int aicWeights	(	double *	aic,
		double *	w,
		int	n
	)

Computation of the Akaike weights for model averaging. Requires an array of AIC values, and an output array for weights.

Returns:

Returns 0, if OK.

Parameters:

aic	Array of AICs
w	Array of weights (output)
n	Lengths of arrays

Definition at line 78 of file aic.c.