haskell-igraph-0.8.0: igraph/include/plfit/plfit.h
/* plfit.h
*
* Copyright (C) 2010-2011 Tamas Nepusz
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 3 of the License, or (at
* your option) any later version.
*
* This program is distributed in the hope that it will be useful, but
* WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
* General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
*/
#ifndef __PLFIT_H__
#define __PLFIT_H__
#include <stdlib.h>
#undef __BEGIN_DECLS
#undef __END_DECLS
#ifdef __cplusplus
# define __BEGIN_DECLS extern "C" {
# define __END_DECLS }
#else
# define __BEGIN_DECLS /* empty */
# define __END_DECLS /* empty */
#endif
__BEGIN_DECLS
#define PLFIT_VERSION_MAJOR 0
#define PLFIT_VERSION_MINOR 6
#define PLFIT_VERSION_STRING "0.6"
typedef unsigned short int plfit_bool_t;
typedef enum {
PLFIT_GSS_OR_LINEAR,
PLFIT_LINEAR_ONLY,
PLFIT_DEFAULT_CONTINUOUS_METHOD = PLFIT_GSS_OR_LINEAR
} plfit_continuous_method_t;
typedef enum {
PLFIT_LBFGS,
PLFIT_LINEAR_SCAN,
PLFIT_PRETEND_CONTINUOUS,
PLFIT_DEFAULT_DISCRETE_METHOD = PLFIT_LBFGS
} plfit_discrete_method_t;
typedef struct _plfit_result_t {
double alpha; /* fitted power-law exponent */
double xmin; /* cutoff where the power-law behaviour kicks in */
double L; /* log-likelihood of the sample */
double D; /* test statistic for the KS test */
double p; /* p-value of the KS test */
} plfit_result_t;
/********** structure that holds the options of plfit **********/
typedef struct _plfit_continuous_options_t {
plfit_bool_t finite_size_correction;
plfit_continuous_method_t xmin_method;
} plfit_continuous_options_t;
typedef struct _plfit_discrete_options_t {
plfit_bool_t finite_size_correction;
plfit_discrete_method_t alpha_method;
struct {
double min;
double max;
double step;
} alpha;
} plfit_discrete_options_t;
int plfit_continuous_options_init(plfit_continuous_options_t* options);
int plfit_discrete_options_init(plfit_discrete_options_t* options);
extern const plfit_continuous_options_t plfit_continuous_default_options;
extern const plfit_discrete_options_t plfit_discrete_default_options;
/********** continuous power law distribution fitting **********/
int plfit_log_likelihood_continuous(double* xs, size_t n, double alpha,
double xmin, double* l);
int plfit_estimate_alpha_continuous(double* xs, size_t n, double xmin,
const plfit_continuous_options_t* options, plfit_result_t* result);
int plfit_estimate_alpha_continuous_sorted(double* xs, size_t n, double xmin,
const plfit_continuous_options_t* options, plfit_result_t* result);
int plfit_continuous(double* xs, size_t n,
const plfit_continuous_options_t* options, plfit_result_t* result);
/********** discrete power law distribution fitting **********/
int plfit_estimate_alpha_discrete(double* xs, size_t n, double xmin,
const plfit_discrete_options_t* options, plfit_result_t *result);
int plfit_log_likelihood_discrete(double* xs, size_t n, double alpha, double xmin, double* l);
int plfit_discrete(double* xs, size_t n, const plfit_discrete_options_t* options,
plfit_result_t* result);
__END_DECLS
#endif /* __PLFIT_H__ */