/*                                                     ndtr.c
 *
 *     Normal distribution function
 *
 *
 *
 * SYNOPSIS:
 *
 * double x, y, ndtr();
 *
 * y = ndtr( x );
 *
 *
 *
 * DESCRIPTION:
 *
 * Returns the area under the Gaussian probability density
 * function, integrated from minus infinity to x:
 *
 *                            x
 *                             -
 *                   1        | |          2
 *    ndtr(x)  = ---------    |    exp( - t /2 ) dt
 *               sqrt(2pi)  | |
 *                           -
 *                          -inf.
 *
 *             =  ( 1 + erf(z) ) / 2
 *             =  erfc(z) / 2
 *
 * where z = x/sqrt(2). Computation is via the functions
 * erf and erfc.
 *
 *
 * ACCURACY:
 *
 *                      Relative error:
 * arithmetic   domain     # trials      peak         rms
 *    IEEE     -13,0        30000       3.4e-14     6.7e-15
 *
 *
 * ERROR MESSAGES:
 *
 *   message         condition         value returned
 * erfc underflow    x > 37.519379347       0.0
 *
 */
/*							erf.c
 *
 *	Error function
 *
 *
 *
 * SYNOPSIS:
 *
 * double x, y, erf();
 *
 * y = erf( x );
 *
 *
 *
 * DESCRIPTION:
 *
 * The integral is
 *
 *                           x 
 *                            -
 *                 2         | |          2
 *   erf(x)  =  --------     |    exp( - t  ) dt.
 *              sqrt(pi)   | |
 *                          -
 *                           0
 *
 * For 0 <= |x| < 1, erf(x) = x * P4(x**2)/Q5(x**2); otherwise
 * erf(x) = 1 - erfc(x).
 *
 *
 *
 * ACCURACY:
 *
 *                      Relative error:
 * arithmetic   domain     # trials      peak         rms
 *    IEEE      0,1         30000       3.7e-16     1.0e-16
 *
 */
/*							erfc.c
 *
 *	Complementary error function
 *
 *
 *
 * SYNOPSIS:
 *
 * double x, y, erfc();
 *
 * y = erfc( x );
 *
 *
 *
 * DESCRIPTION:
 *
 *
 *  1 - erf(x) =
 *
 *                           inf. 
 *                             -
 *                  2         | |          2
 *   erfc(x)  =  --------     |    exp( - t  ) dt
 *               sqrt(pi)   | |
 *                           -
 *                            x
 *
 *
 * For small x, erfc(x) = 1 - erf(x); otherwise rational
 * approximations are computed.
 *
 *
 *
 * ACCURACY:
 *
 *                      Relative error:
 * arithmetic   domain     # trials      peak         rms
 *    IEEE      0,26.6417   30000       5.7e-14     1.5e-14
 */


/*
 * Cephes Math Library Release 2.2:  June, 1992
 * Copyright 1984, 1987, 1988, 1992 by Stephen L. Moshier
 * Direct inquiries to 30 Frost Street, Cambridge, MA 02140
 */

#include <float.h>		/* DBL_EPSILON */
#include "mconf.h"

extern double MAXLOG;

static double P[] = {
    2.46196981473530512524E-10,
    5.64189564831068821977E-1,
    7.46321056442269912687E0,
    4.86371970985681366614E1,
    1.96520832956077098242E2,
    5.26445194995477358631E2,
    9.34528527171957607540E2,
    1.02755188689515710272E3,
    5.57535335369399327526E2
};

static double Q[] = {
    /* 1.00000000000000000000E0, */
    1.32281951154744992508E1,
    8.67072140885989742329E1,
    3.54937778887819891062E2,
    9.75708501743205489753E2,
    1.82390916687909736289E3,
    2.24633760818710981792E3,
    1.65666309194161350182E3,
    5.57535340817727675546E2
};

static double R[] = {
    5.64189583547755073984E-1,
    1.27536670759978104416E0,
    5.01905042251180477414E0,
    6.16021097993053585195E0,
    7.40974269950448939160E0,
    2.97886665372100240670E0
};

static double S[] = {
    /* 1.00000000000000000000E0, */
    2.26052863220117276590E0,
    9.39603524938001434673E0,
    1.20489539808096656605E1,
    1.70814450747565897222E1,
    9.60896809063285878198E0,
    3.36907645100081516050E0
};

static double T[] = {
    9.60497373987051638749E0,
    9.00260197203842689217E1,
    2.23200534594684319226E3,
    7.00332514112805075473E3,
    5.55923013010394962768E4
};

static double U[] = {
    /* 1.00000000000000000000E0, */
    3.35617141647503099647E1,
    5.21357949780152679795E2,
    4.59432382970980127987E3,
    2.26290000613890934246E4,
    4.92673942608635921086E4
};

#define UTHRESH 37.519379347


double ndtr(double a)
{
    double x, y, z;

    if (cephes_isnan(a)) {
	mtherr("ndtr", DOMAIN);
	return (NPY_NAN);
    }

    x = a * NPY_SQRT1_2;
    z = fabs(x);

    if (z < NPY_SQRT1_2)
	y = 0.5 + 0.5 * erf(x);

    else {
	y = 0.5 * erfc(z);

	if (x > 0)
	    y = 1.0 - y;
    }

    return (y);
}


double erfc(double a)
{
    double p, q, x, y, z;

    if (cephes_isnan(a)) {
	mtherr("erfc", DOMAIN);
	return (NPY_NAN);
    }

    if (a < 0.0)
	x = -a;
    else
	x = a;

    if (x < 1.0)
	return (1.0 - erf(a));

    z = -a * a;

    if (z < -MAXLOG) {
      under:
	mtherr("erfc", UNDERFLOW);
	if (a < 0)
	    return (2.0);
	else
	    return (0.0);
    }

    z = exp(z);

    if (x < 8.0) {
	p = polevl(x, P, 8);
	q = p1evl(x, Q, 8);
    }
    else {
	p = polevl(x, R, 5);
	q = p1evl(x, S, 6);
    }
    y = (z * p) / q;

    if (a < 0)
	y = 2.0 - y;

    if (y == 0.0)
	goto under;

    return (y);
}



double erf(double x)
{
    double y, z;

    if (cephes_isnan(x)) {
	mtherr("erf", DOMAIN);
	return (NPY_NAN);
    }

    if (fabs(x) > 1.0)
	return (1.0 - erfc(x));
    z = x * x;

    y = x * polevl(z, T, 4) / p1evl(z, U, 5);
    return (y);

}

/* 
 * double log_ndtr(double a)
 * 
 * For a > -20, use the existing ndtr technique and take a log.
 * for a <= -20, we use the Taylor series approximation of erf to compute 
 * the log CDF directly. The Taylor series consists of two parts which we will name "left"
 * and "right" accordingly.  The right part involves a summation which we compute until the
 * difference in terms falls below the machine-specific EPSILON.
 * 
 * \Phi(z) &=& 
 *   \frac{e^{-z^2/2}}{-z\sqrt{2\pi}}  * [1 +  \sum_{n=1}^{N-1}  (-1)^n \frac{(2n-1)!!}{(z^2)^n}] 
 *   + O(z^{-2N+2})
 *   = [\mbox{LHS}] * [\mbox{RHS}] + \mbox{error}.
 *   
 */

double log_ndtr(double a)
{

    double log_LHS,		/* we compute the left hand side of the approx (LHS) in one shot */
     last_total = 0,		/* variable used to check for convergence */
	right_hand_side = 1,	/* includes first term from the RHS summation */
	numerator = 1,		/* numerator for RHS summand */
	denom_factor = 1,	/* use reciprocal for denominator to avoid division */
	denom_cons = 1.0 / (a * a);	/* the precomputed division we use to adjust the denominator */
    long sign = 1, i = 0;

    if (a > -20) {
	return log(ndtr(a));
    }
    log_LHS = -0.5 * a * a - log(-a) - 0.5 * log(2 * M_PI);

    while (fabs(last_total - right_hand_side) > DBL_EPSILON) {
	i += 1;
	last_total = right_hand_side;
	sign = -sign;
	denom_factor *= denom_cons;
	numerator *= 2 * i - 1;
	right_hand_side += sign * numerator * denom_factor;

    }
    return log_LHS + log(right_hand_side);
}
