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/*
* Mathlib : A C Library of Special Functions
* Copyright (C) 1998 Ross Ihaka
* Copyright (C) 2000--2016 The R 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, a copy is available at
* https://www.R-project.org/Licenses/
*
* SYNOPSIS
*
* #include <Rmath.h>
* double rnbinom(double n, double p)
*
* DESCRIPTION
*
* Random variates from the negative binomial distribution.
*
* NOTES
*
* x = the number of failures before the n-th success
*
* REFERENCE
*
* Devroye, L. (1986).
* Non-Uniform Random Variate Generation.
* New York:Springer-Verlag. Pages 488 and 543.
*
* METHOD
*
* Generate lambda as gamma with shape parameter n and scale
* parameter p/(1-p). Return a Poisson deviate with mean lambda.
*/
#include "nmath.h"
double rnbinom(double size, double prob)
{
if(!R_FINITE(prob) || ISNAN(size) || size <= 0 || prob <= 0 || prob > 1)
/* prob = 1 is ok, PR#1218 */
ML_ERR_return_NAN;
if(!R_FINITE(size)) size = DBL_MAX / 2.; // '/2' to prevent rgamma() returning Inf
return (prob == 1) ? 0 : rpois(rgamma(size, (1 - prob) / prob));
}
double rnbinom_mu(double size, double mu)
{
if(!R_FINITE(mu) || ISNAN(size) || size <= 0 || mu < 0)
ML_ERR_return_NAN;
if(!R_FINITE(size)) size = DBL_MAX / 2.;
return (mu == 0) ? 0 : rpois(rgamma(size, mu / size));
}