X-Git-Url: https://pintos-os.org/cgi-bin/gitweb.cgi?a=blobdiff_plain;f=src%2Fmath%2Fts%2Finnovations.c;h=ba2120fb4e6bc735f41d300b5aef406be5c2828d;hb=81579d9e9f994fb2908f50af41c3eb033d216e58;hp=3e3be2024711a727e8a382d48841213106c8f03e;hpb=9f087e7aa4cdff1d5d46d5e188c0017a9d2d0029;p=pspp-builds.git

diff --git a/src/math/ts/innovations.c b/src/math/ts/innovations.c
index 3e3be202..ba2120fb 100644
--- a/src/math/ts/innovations.c
+++ b/src/math/ts/innovations.c
@@ -1,5 +1,5 @@
 /* PSPP - a program for statistical analysis.
-   Copyright (C) 2006 Free Software Foundation, Inc.
+   Copyright (C) 2006, 2011 Free Software Foundation, Inc.
 
    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
@@ -26,15 +26,19 @@
  */
 
 #include <config.h>
+
+#include "math/ts/innovations.h"
+
 #include <gsl/gsl_matrix.h>
 #include <gsl/gsl_vector.h>
-#include <gsl/gsl_math.h>
+#include <math.h>
 #include <stdlib.h>
-#include <libpspp/compiler.h>
-#include <math/coefficient.h>
-#include <math/ts/innovations.h>
 
-#include "xalloc.h"
+#include "libpspp/compiler.h"
+#include "libpspp/misc.h"
+#include "math/coefficient.h"
+
+#include "gl/xalloc.h"
 
 static void
 get_mean (const gsl_matrix *data,
@@ -56,7 +60,7 @@ get_mean (const gsl_matrix *data,
       for (n = 0; n < data->size2; n++)
 	{
 	  tmp = gsl_matrix_get (data, i, n);
-	  if (!gsl_isnan (tmp))
+	  if (!isnan (tmp))
 	    {
 	      est[n]->n_obs += 1.0;
 	      d = (tmp - est[n]->mean) / est[n]->n_obs;
@@ -77,9 +81,9 @@ update_cov (struct innovations_estimate **est, gsl_vector_const_view x,
     {
       xj = gsl_vector_get (&x.vector, j);
       yj = gsl_vector_get (&y.vector, j);
-      if (!gsl_isnan (xj))
+      if (!isnan (xj))
 	{
-	  if (!gsl_isnan (yj))
+	  if (!isnan (yj))
 	    {
 	      xj -= est[j]->mean;
 	      yj -= est[j]->mean;
@@ -161,7 +165,7 @@ innovations_update_scale (struct innovations_estimate *est, double *theta,
       for (j = 0; j < i; j++)
 	{
 	  k = i - j - 1;
-	  result -= theta[k] * theta[k] * est->scale[j];
+	  result -= pow2 (theta[k]) * est->scale[j];
 	}
       est->scale[i] = result;
     }