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/*
 *  Mathlib : A C Library of Special Functions
 *  Copyright (C) 1998 Ross Ihaka
 *  Copyright (C) 2000-2016 The R Core Team
 *  Copyright (C) 2005-2016 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
 *  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();
}