random_walk_forc: Random walk forecast
In lmForc: Linear Model Forecasting

Description Usage Arguments Value See Also Examples

random_walk_forc takes a vector of realized values, an integer number of periods ahead to forecast, and an optional vector of time data associated with the realized values. In each period, the current period value of the realized_vec series is set as the h_ahead period ahead forecast. Returns a random walk forecast where the h_ahead period ahead forecast is simply the present value of the series being forecasted.

1	random_walk_forc(realized_vec, h_ahead, time_vec = NULL)

`realized_vec`	Vector of realized values. This is the series that is being forecasted.
`h_ahead`	Integer representing the number of periods ahead that is being forecasted.
`time_vec`	Vector of any class that is equal in length to the `realized_vec` vector.

Forecast object that contains the random walk forecast.

For a detailed example see the help vignette: vignette("lmForc", package = "lmForc")

date <- as.Date(c("2010-03-31", "2010-06-30", "2010-09-30", "2010-12-31",
                  "2011-03-31", "2011-06-30", "2011-09-30", "2011-12-31", 
                  "2012-03-31", "2012-06-30"))
y  <- c(1.09, 1.71, 1.09, 2.46, 1.78, 1.35, 2.89, 2.11, 2.97, 0.99)
data <- data.frame(date, y)

random_walk_forc(
  realized_vec = data$y,
  h_ahead = 4L,
  time_vec = data$date 
)