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/*
* Mathlib : A C Library of Special Functions
* Copyright (C) 2000-2021 The R Core Team
* Copyright (C) 2005-2021 The R Foundation
* Copyright (C) 1998 Ross Ihaka
*
* 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 qnbinom(double p, double size, double prob,
* int lower_tail, int log_p)
*
* DESCRIPTION
*
* The quantile function of the negative binomial distribution,
* for the (size, prob) parametrizations
*
* NOTES
*
* x = the number of failures before the n-th success
*
* METHOD
*
* Uses the Cornish-Fisher Expansion to include a skewness
* correction to a normal approximation. This gives an
* initial value which never seems to be off by more than
* 1 or 2. A search is then conducted of values close to
* this initial start point.
*/
#include "nmath.h"
#include "dpq.h"
/*-------- DEBUGGING ------------- make CFLAGS='-DDEBUG_qnbinom ...'
*/
#ifdef DEBUG_qnbinom
# define R_DBG_printf(...) REprintf(__VA_ARGS__)
#else
# define R_DBG_printf(...)
#endif
#define _thisDIST_ nbinom
#define _dist_PARS_DECL_ double size, double prob
#define _dist_PARS_ size, prob
#include "qDiscrete_search.h"
// ------------------> do_search() and all called by q_DISCRETE_*() below
double qnbinom(double p, double size, double prob, int lower_tail, int log_p)
{
#ifdef IEEE_754
if (ISNAN(p) || ISNAN(size) || ISNAN(prob))
return p + size + prob;
#endif
/* this happens if specified via mu, size, since
prob == size/(size+mu)
*/
if (prob == 0 && size == 0) return 0;
if (prob <= 0 || prob > 1 || size < 0) ML_WARN_return_NAN;
if (prob == 1 || size == 0) return 0;
R_Q_P01_boundaries(p, 0, ML_POSINF);
double
Q = 1.0 / prob,
P = (1.0 - prob) * Q, // = (1 - prob) / prob = Q - 1
mu = size * P,
sigma = sqrt(size * P * Q),
gamma = (Q + P)/sigma;
R_DBG_printf("qnbinom(p=%.12g, size=%.15g, prob=%g, l.t.=%d, log=%d):"
" mu=%g, sigma=%g, gamma=%g;\n",
p, size, prob, lower_tail, log_p, mu, sigma, gamma);
q_DISCRETE_01_CHECKS();
q_DISCRETE_BODY();
}