1 files changed, 202 insertions, 0 deletions
diff --git a/gsl-1.9/cdf/gaussinv.c b/gsl-1.9/cdf/gaussinv.c
new file mode 100644
index 0000000..fbddb9e
--- /dev/null
+++ b/gsl-1.9/cdf/gaussinv.c
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+/* cdf/inverse_normal.c
+ *
+ * Copyright (C) 2002 Przemyslaw Sliwa and Jason H. Stover.
+ *
+ * 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, write to the Free Software
+ * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307, USA.
+ */
+
+/*
+ * Computes the inverse normal cumulative distribution function 
+ * according to the algorithm shown in 
+ *
+ *      Wichura, M.J. (1988).
+ *      Algorithm AS 241: The Percentage Points of the Normal Distribution.
+ *      Applied Statistics, 37, 477-484.
+ */
+
+#include <config.h>
+#include <gsl/gsl_errno.h>
+#include <gsl/gsl_math.h>
+#include <gsl/gsl_cdf.h>
+
+#include "rat_eval.h"
+
+static double
+small (double q)
+{
+  const double a[8] = { 3.387132872796366608, 133.14166789178437745,
+    1971.5909503065514427, 13731.693765509461125,
+    45921.953931549871457, 67265.770927008700853,
+    33430.575583588128105, 2509.0809287301226727
+  };
+
+  const double b[8] = { 1.0, 42.313330701600911252,
+    687.1870074920579083, 5394.1960214247511077,
+    21213.794301586595867, 39307.89580009271061,
+    28729.085735721942674, 5226.495278852854561
+  };
+
+  double r = 0.180625 - q * q;
+
+  double x = q * rat_eval (a, 8, b, 8, r);
+
+  return x;
+}
+
+static double
+intermediate (double r)
+{
+  const double a[] = { 1.42343711074968357734, 4.6303378461565452959,
+    5.7694972214606914055, 3.64784832476320460504,
+    1.27045825245236838258, 0.24178072517745061177,
+    0.0227238449892691845833, 7.7454501427834140764e-4
+  };
+
+  const double b[] = { 1.0, 2.05319162663775882187,
+    1.6763848301838038494, 0.68976733498510000455,
+    0.14810397642748007459, 0.0151986665636164571966,
+    5.475938084995344946e-4, 1.05075007164441684324e-9
+  };
+
+  double x = rat_eval (a, 8, b, 8, (r - 1.6));
+
+  return x;
+}
+
+static double
+tail (double r)
+{
+  const double a[] = { 6.6579046435011037772, 5.4637849111641143699,
+    1.7848265399172913358, 0.29656057182850489123,
+    0.026532189526576123093, 0.0012426609473880784386,
+    2.71155556874348757815e-5, 2.01033439929228813265e-7
+  };
+
+  const double b[] = { 1.0, 0.59983220655588793769,
+    0.13692988092273580531, 0.0148753612908506148525,
+    7.868691311456132591e-4, 1.8463183175100546818e-5,
+    1.4215117583164458887e-7, 2.04426310338993978564e-15
+  };
+
+  double x = rat_eval (a, 8, b, 8, (r - 5.0));
+
+  return x;
+}
+
+double
+gsl_cdf_ugaussian_Pinv (const double P)
+{
+  double r, x, pp;
+
+  double dP = P - 0.5;
+
+  if (P == 1.0)
+    {
+      return GSL_POSINF;
+    }
+  else if (P == 0.0)
+    {
+      return GSL_NEGINF;
+    }
+
+  if (fabs (dP) <= 0.425)
+    {
+      x = small (dP);
+
+      return x;
+    }
+
+  pp = (P < 0.5) ? P : 1.0 - P;
+
+  r = sqrt (-log (pp));
+
+  if (r <= 5.0)
+    {
+      x = intermediate (r);
+    }
+  else
+    {
+      x = tail (r);
+    }
+
+  if (P < 0.5)
+    {
+      return -x;
+    }
+  else
+    {
+      return x;
+    }
+
+}
+
+double
+gsl_cdf_ugaussian_Qinv (const double Q)
+{
+  double r, x, pp;
+
+  double dQ = Q - 0.5;
+
+  if (Q == 1.0)
+    {
+      return GSL_NEGINF;
+    }
+  else if (Q == 0.0)
+    {
+      return GSL_POSINF;
+    }
+
+  if (fabs (dQ) <= 0.425)
+    {
+      x = small (dQ);
+
+      return -x;
+    }
+
+  pp = (Q < 0.5) ? Q : 1.0 - Q;
+
+  r = sqrt (-log (pp));
+
+  if (r <= 5.0)
+    {
+      x = intermediate (r);
+    }
+  else
+    {
+      x = tail (r);
+    }
+
+  if (Q < 0.5)
+    {
+      return x;
+    }
+  else
+    {
+      return -x;
+    }
+}
+
+
+double
+gsl_cdf_gaussian_Pinv (const double P, const double sigma)
+{
+  return sigma * gsl_cdf_ugaussian_Pinv (P);
+}
+
+double
+gsl_cdf_gaussian_Qinv (const double Q, const double sigma)
+{
+  return sigma * gsl_cdf_ugaussian_Qinv (Q);
+}