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/** Mathlib : A C Library of Special Functions* Copyright (C) 1998 Ross Ihaka* Copyright (C) 2000-2001 The R Development Core Team** 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 2 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** SYNOPSIS** #include <Rmath.h>* double beta(double a, double b);** DESCRIPTION** This function returns the value of the beta function* evaluated with arguments a and b.** NOTES** This routine is a translation into C of a Fortran subroutine* by W. Fullerton of Los Alamos Scientific Laboratory.* Some modifications have been made so that the routines* conform to the IEEE 754 standard.*/#include "nmath.h"double beta(double a, double b){double val;#ifdef NOMORE_FOR_THREADSstatic double xmin, xmax = 0;/*-> typically = 171.61447887 for IEEE */static double lnsml = 0;/*-> typically = -708.3964185 */if (xmax == 0) {gammalims(&xmin, &xmax);lnsml = log(d1mach(1));}#else/* For IEEE double precision DBL_EPSILON = 2^-52 = 2.220446049250313e-16 :* xmin, xmax : see ./gammalims.c* lnsml = log(DBL_MIN) = log(2 ^ -1022) = -1022 * log(2)*/# define xmin -170.5674972726612# define xmax 171.61447887182298# define lnsml -708.39641853226412#endif#ifdef IEEE_754/* NaNs propagated correctly */if(ISNAN(a) || ISNAN(b)) return a + b;#endifif (a < 0 || b < 0)ML_ERR_return_NANelse if (a == 0 || b == 0) {return ML_POSINF;}else if (!R_FINITE(a) || !R_FINITE(b)) {return 0;}if (a + b < xmax) /* ~= 171.61 for IEEE */return gammafn(a) * gammafn(b) / gammafn(a+b);val = lbeta(a, b);if (val < lnsml) {/* a and/or b so big that beta underflows */ML_ERROR(ME_UNDERFLOW, "beta");return ML_UNDERFLOW;}return exp(val);}