aic.c File Reference

#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include "include/aic.h"

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

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

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

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

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