1 /* randist/beta.c
2  *
3  * Copyright (C) 1996, 1997, 1998, 1999, 2000, 2007 James Theiler, Brian Gough
4  *
5  * This program is free software; you can redistribute it and/or modify
6  * it under the terms of the GNU General Public License as published by
7  * the Free Software Foundation; either version 3 of the License, or (at
8  * your option) any later version.
9  *
10  * This program is distributed in the hope that it will be useful, but
11  * WITHOUT ANY WARRANTY; without even the implied warranty of
12  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
13  * General Public License for more details.
14  *
15  * You should have received a copy of the GNU General Public License
16  * along with this program; if not, write to the Free Software
17  * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
18  */
19 
20 #include <config.h>
21 #include <math.h>
22 #include <gsl/gsl_math.h>
23 #include <gsl/gsl_rng.h>
24 #include <gsl/gsl_randist.h>
25 #include <gsl/gsl_sf_gamma.h>
26 
27 /* The beta distribution has the form
28 
29    p(x) dx = (Gamma(a + b)/(Gamma(a) Gamma(b))) x^(a-1) (1-x)^(b-1) dx
30 
31    The method used here is the one described in Knuth */
32 
33 double
gsl_ran_beta(const gsl_rng * r,const double a,const double b)34 gsl_ran_beta (const gsl_rng * r, const double a, const double b)
35 {
36   if ( (a <= 1.0) && (b <= 1.0) )
37     {
38       double U, V, X, Y;
39       while (1)
40         {
41           U = gsl_rng_uniform_pos(r);
42           V = gsl_rng_uniform_pos(r);
43           X = pow(U, 1.0/a);
44           Y = pow(V, 1.0/b);
45           if ((X + Y ) <= 1.0)
46             {
47               if (X + Y > 0)
48                 {
49                   return X/ (X + Y);
50                 }
51               else
52                 {
53                   double logX = log(U)/a;
54                   double logY = log(V)/b;
55                   double logM = logX > logY ? logX: logY;
56                   logX -= logM;
57                   logY -= logM;
58                   return exp(logX - log(exp(logX) + exp(logY)));
59                 }
60             }
61         }
62     }
63   else
64     {
65       double x1 = gsl_ran_gamma (r, a, 1.0);
66       double x2 = gsl_ran_gamma (r, b, 1.0);
67       return x1 / (x1 + x2);
68     }
69 }
70 
71 double
gsl_ran_beta_pdf(const double x,const double a,const double b)72 gsl_ran_beta_pdf (const double x, const double a, const double b)
73 {
74   if (x < 0 || x > 1)
75     {
76       return 0 ;
77     }
78   else
79     {
80       double p;
81 
82       double gab = gsl_sf_lngamma (a + b);
83       double ga = gsl_sf_lngamma (a);
84       double gb = gsl_sf_lngamma (b);
85 
86       if (x == 0.0 || x == 1.0)
87         {
88 	  if (a > 1.0 && b > 1.0)
89 	    {
90 	      p = 0.0;
91 	    }
92 	  else
93 	    {
94 	      p = exp (gab - ga - gb) * pow (x, a - 1) * pow (1 - x, b - 1);
95 	    }
96         }
97       else
98         {
99           p = exp (gab - ga - gb + log(x) * (a - 1)  + log1p(-x) * (b - 1));
100         }
101 
102       return p;
103     }
104 }
105