size_t i;
size_t j;
size_t k;
- double v;
for (i = 0; i < max_lag; i++)
{
theta = xnmalloc (max_lag, sizeof (*theta));
for (i = 0; i < max_lag; i++)
{
- theta[i] = xnmalloc (i + 1, sizeof (**(theta + i)));
+ theta[i] = xnmalloc (max_lag, sizeof (**(theta + i)));
}
for (n = 0; n < data->size2; n++)
free (theta);
}
+static void
+innovations_struct_init (struct innovations_estimate *est, size_t lag)
+{
+ size_t j;
+
+ est->mean = 0.0;
+ est->variance = 0.0;
+ est->cov = xnmalloc (lag, sizeof (*est->cov));
+ est->scale = xnmalloc (lag, sizeof (*est->scale));
+ est->coeff = xnmalloc (lag, sizeof (*est->coeff));
+ est->max_lag = (double) lag;
+ /* COV does not the variance (i.e., the lag 0 covariance). So COV[0]
+ holds the lag 1 covariance, COV[i] holds the lag i+1 covariance. */
+ for (j = 0; j < lag; j++)
+ {
+ est->coeff[j] = xmalloc (sizeof (*(est->coeff[j])));
+ }
+}
+
struct innovations_estimate **
pspp_innovations (const gsl_matrix *data, size_t lag)
{
struct innovations_estimate **est;
size_t i;
- size_t j;
est = xnmalloc (data->size2, sizeof *est);
for (i = 0; i < data->size2; i++)
{
est[i] = xmalloc (sizeof *est[i]);
/* est[i]->variable = vars[i]; */
- est[i]->mean = 0.0;
- est[i]->variance = 0.0;
- /* COV does not the variance (i.e., the lag 0 covariance). So COV[0]
- holds the lag 1 covariance, COV[i] holds the lag i+1 covariance. */
- est[i]->cov = xnmalloc (lag, sizeof (*est[i]->cov));
- est[i]->scale = xnmalloc (lag, sizeof (*est[i]->scale));
- est[i]->coeff = xnmalloc (lag, sizeof (*est[i]->coeff));
- est[i]->max_lag = (double) lag;
- for (j = 0; j < lag; j++)
- {
- est[i]->coeff[j] = xmalloc (sizeof (*(est[i]->coeff + j)));
- }
+ innovations_struct_init (est[i], lag);
}
get_mean_variance (data, est);