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/** AUTHOR* Catherine Loader, catherine@research.bell-labs.com.* October 23, 2000.** Merge in to R and further tweaks :* Copyright (C) 2000-2014 The R Core Team* Copyright (C) 2008 The R Foundation** 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, a copy is available at* http://www.r-project.org/Licenses/*** DESCRIPTION** To compute the binomial probability, call dbinom(x,n,p).* This checks for argument validity, and calls dbinom_raw().** dbinom_raw() does the actual computation; note this is called by* other functions in addition to dbinom().* (1) dbinom_raw() has both p and q arguments, when one may be represented* more accurately than the other (in particular, in df()).* (2) dbinom_raw() does NOT check that inputs x and n are integers. This* should be done in the calling function, where necessary.* -- but is not the case at all when called e.g., from df() or dbeta() !* (3) Also does not check for 0 <= p <= 1 and 0 <= q <= 1 or NaN's.* Do this in the calling function.*/#include "nmath.h"#include "dpq.h"double attribute_hiddendbinom_raw(double x, double n, double p, double q, int give_log){double lf, lc;if (p == 0) return((x == 0) ? R_D__1 : R_D__0);if (q == 0) return((x == n) ? R_D__1 : R_D__0);if (x == 0) {if(n == 0) return R_D__1;lc = (p < 0.1) ? -bd0(n,n*q) - n*p : n*log(q);return( R_D_exp(lc) );}if (x == n) {lc = (q < 0.1) ? -bd0(n,n*p) - n*q : n*log(p);return( R_D_exp(lc) );}if (x < 0 || x > n) return( R_D__0 );/* n*p or n*q can underflow to zero if n and p or q are small. Thisused to occur in dbeta, and gives NaN as from R 2.3.0. */lc = stirlerr(n) - stirlerr(x) - stirlerr(n-x) - bd0(x,n*p) - bd0(n-x,n*q);/* f = (M_2PI*x*(n-x))/n; could overflow or underflow *//* Upto R 2.7.1:* lf = log(M_2PI) + log(x) + log(n-x) - log(n);* -- following is much better for x << n : */lf = M_LN_2PI + log(x) + log1p(- x/n);return R_D_exp(lc - 0.5*lf);}double dbinom(double x, double n, double p, int give_log){#ifdef IEEE_754/* NaNs propagated correctly */if (ISNAN(x) || ISNAN(n) || ISNAN(p)) return x + n + p;#endifif (p < 0 || p > 1 || R_D_negInonint(n))ML_ERR_return_NAN;R_D_nonint_check(x);if (x < 0 || !R_FINITE(x)) return R_D__0;n = R_forceint(n);x = R_forceint(x);return dbinom_raw(x, n, p, 1-p, give_log);}