GORegression

GORegression

Functions

GORegressionResult (*GORegressionFunction) ()
GORegressionResult go_linear_regression ()
GORegressionResult go_exponential_regression ()
GORegressionResult go_logarithmic_regression ()
GORegressionResult go_non_linear_regression ()
GORegressionResult go_power_regression ()
GORegressionResult go_logarithmic_fit ()
gboolean go_matrix_invert ()
double go_matrix_determinant ()
go_regression_stat_t * go_regression_stat_new ()
void go_regression_stat_destroy ()

Types and Values

#define GO_LOGFIT_C_ACCURACY
#define GO_LOGFIT_C_STEP_FACTOR
#define GO_LOGFIT_C_RANGE_FACTOR
enum GORegressionResult
  go_regression_stat_t

Description

Functions

GORegressionFunction ()

GORegressionResult
(*GORegressionFunction) (double *x,
                         double *params,
                         double *f);

Returns

go_linear_regression ()

GORegressionResult
go_linear_regression (double **xss,
                      int dim,
                      const double *ys,
                      int n,
                      gboolean affine,
                      double *res,
                      go_regression_stat_t *stat_);

Performs multi-dimensional linear regressions on the input points. Fits to "y = b + a1 * x1 + ... ad * xd".

Parameters

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x-vectors (i.e. independent data)

  

dim

number of x-vectors.

  

ys

y-vector. (Dependent data.)

  

n

number of data points.

  

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number of data points.
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number of data points.

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