def acf(data, settings):
"""Process the ACF."""
alpha = settings[LABELS['confint']]['alpha']
data = data['data']
nlags = min(LONG_MAX_LAGS, len(data)-1)
try:
values, confint = sm_acf(data, nlags=nlags, alpha=alpha)
confint = [list(i) for i in confint]
except ValueError:
values = sm_acf(data, nlags=nlags)
confint = []
return {
LABELS['values']: list(values),
LABELS['confint']: confint,
}
def acf(x,
unbiased=False,
nlags=40,
qstat=False,
fft=False,
alpha=None,
missing='none'):
return sm_acf(x=x,
unbiased=unbiased,
nlags=nlags,
qstat=qstat,
fft=fft,
alpha=alpha,
missing=missing)
def acf(
x,
nlags=None,
qstat=False,
fft=None,
alpha=None,
missing='none',
adjusted=False,
):
return sm_acf(
x=x,
nlags=nlags,
qstat=qstat,
fft=fft,
alpha=alpha,
missing=missing,
adjusted=adjusted,
)