fcast: Direct Multistep Forecast

In nelson16silva/wavdrcast: Wavelet-Based Direct Multistep Forecast

Description

Make forecast using a horizon-specific estimated OLS model.

Usage

fcast(
  df,
  lags,
  .h,
  ic = BIC,
  .var = "all",
  .diff = FALSE,
  wav = FALSE,
  xreg = NULL,
  ...
)

Arguments

df	A data frame. The first column of the data frame must be the base variable for constructing the dependent variable, the multiperiod ahead value to be forecasted, x_{t + h}. If wav = TRUE, ncol of df can be equal to one (just the dependent variable), otherwise, ncol(df) must be greater than one, even if .var = "ar".
lags	An integer vector defining the lags of the regressors. If wav = FALSE, the length of the vector lags have to be the same as the number of columns in df. However, if wav = TRUE, an additional element in lags must be add such that the last element in the vector lags is the lag associatd with the wavelet regressor.
.h	h step-ahead.
ic	Information criterion, BIC or AIC. When searching for the best model the dataset is adjusted so that every model have the same data length for appropriate comparasion.
.var	A string to determine how the model will be specificated: "all" (default), "ar" or "ar_out".
.diff	Logical FALSE or TRUE. If TRUE, the dependent variable is differentiated. See wavdrcast-package for the implication on the model specification and wavelet variable.
wav	Logical. If TRUE, a wavelet-based signal is add to df, where the signal is related to the explained variable, the first column of df.
xreg	Data frame. Exogeunous variable not subjected to be lagged. The number of rows must be the same as in df.
...	Further arguments passed to wavsigmap::signal.

Details

See wavdrcast-package and model.

Value

A double vector with forecasts from 1 to h step-ahead.

See Also

model

Examples

fcast(df = inf[1], lags = c(2, 1), .h = 12, wav = TRUE)
fcast(df = gdp[1], lags = c(2, 1), .h = 12, wav = TRUE, .diff = TRUE)
fcast(df = gdp, lags = c(2, 1), .h = 12, .diff = TRUE)

nelson16silva/wavdrcast documentation built on April 25, 2021, 7:03 a.m.