Linearize the series with a fractional airline model
Source:R/jd3_fractionalairline.R
fractionalAirlineEstimation.Rd
Linearize the series with a fractional airline model
Usage
fractionalAirlineEstimation(
y,
periods,
x = NULL,
ndiff = 2,
ar = FALSE,
outliers = NULL,
criticalValue = 6,
precision = 1e-12,
approximateHessian = FALSE,
nfcasts = 0,
log = FALSE,
y_time = NULL
)
Arguments
- y
input time series.
- periods
vector of periods values of the seasonal component, any positive real numbers.
- x
matrix of user-defined regression variables (see rjd3toolkit for building calendar regressors).
- outliers
type of outliers sub vector of c("AO","LS","WO")
- criticalValue
Critical value for automatic outlier detection
- precision
Precision of the likelihood
- approximateHessian
Compute approximate hessian (based on the optimizing procedure)
- nfcasts
Number of forecasts
- log
a logical
- y_time
vector of times at which `y` is indexed