isfinite()

# define isfinite(x) (!isnan(x) && !isinf(x))

na()

#define na(x) (isnan(x) || isinf(x))

model_missing ()

int
model_missing (const MODEL *pmod,
               int t);

model_has_missing_obs ()

int
model_has_missing_obs (const MODEL *pmod);

first_missing_index ()

int
first_missing_index (const double *x,
                     int t1,
                     int t2);

series_adjust_sample ()

int
series_adjust_sample (const double *x,
                      int *t1,
                      int *t2);

Adjusts t1 and t2 so as to drop any leading or trailing missing observations.

list_adjust_sample ()

int
list_adjust_sample (const int *list,
                    int *t1,
                    int *t2,
                    const DATASET *dset,
                    int *nmiss);

Drops leading or trailing observations from the sample range initially given by the values in t1 and t2 if missing values are found for any of the variables given in list .

If nmiss is non-NULL it receives the number of missing values inside the (possibly reduced) sample range, otherwise it is considered an error if there are any such missing values.

set_miss ()

int
set_miss (const int *list,
          const char *param,
          DATASET *dset,
          PRN *prn);

Set to "missing" each observation of each series in list that has the value represented by param .

missing_obs_fraction ()

double
missing_obs_fraction (const DATASET *dset);

any_missing_user_values ()

int
any_missing_user_values (const DATASET *dset);

model_add_missmask ()

int
model_add_missmask (MODEL *pmod,
                    int n);

Allocates a missing obs mask of length n and attaches it to pmod . All elements are initialized to '0' (non-missing).

NADBL

# define NADBL NAN