Derived from R package ftsa.
Functions for visualizing, modeling, (generic) forecasting and hypothesis testing of functional time series.
library(ftsatoo)
library(ahead)
fit_obj <- ftsm(ElNino_ERSST_region_1and2, order=3, method = "M")
summary(fit_obj)
plot(fit_obj)
# Here's the novelty
(fcast <- forecast(object = fit_obj, h = 12, level=95,
pimethod = "nonparametric",
FUN=forecast::thetaf))
plot(fcast)
(fcast <- forecast(object = fit_obj, h = 12, level=95,
pimethod = "nonparametric",
FUN=ahead::dynrmf))
plot(fcast)
# And here too (multivariate)
(fcast <- forecast(object = fit_obj, h = 12, level=95,
pimethod = "nonparametric",
FUN=ahead::ridge2f))
plot(fcast)
(fcast <- forecast(object = fit_obj, h = 12, level=95,
pimethod = "nonparametric",
FUN=ahead::varf))
plot(fcast)