predict.um: Forecasts from an ARIMA model

In tfarima: Transfer Function and ARIMA Models

Forecasts from an ARIMA model

Description

predict computes point and interval predictions for a time series from models of class um.

Usage

## S3 method for class 'um'
predict(
  object,
  z = NULL,
  ori = NULL,
  n.ahead = 1,
  level = 0.95,
  i = NULL,
  envir = NULL,
  ...
)

Arguments

object	an object of class um.
z	an object of class ts.
ori	the origin of prediction. By default, it is the last observation.
n.ahead	number of steps ahead.
level	confidence level.
i	transformation of the series z to be forecasted. It is a lagpol as those of a um object.
envir	environment in which the function arguments are evaluated. If NULL the calling environment of this function will be used.
...	additional arguments.

Value

An object of class "tfm".

Examples

Z <- AirPassengers
um1 <- um(Z, i = list(1, c(1, 12)), ma = list(1, c(1, 12)), bc = TRUE)
p <- predict(um1, n.ahead = 12)
p
plot(p, n.back = 60)

tfarima documentation built on May 20, 2022, 5:06 p.m.