locreg_ts
fits a locally weighted regression using
locfit
. It first searches over a parameter space of
nearest neighbors bandwidth, and polynomial degree, and then uses the best
solution
locreg_ts(timeseries, num_ahead = 5, level = 95, nn = seq(from = 0.2, to = 3, by = 0.05), deg = 1:3)
timeseries | the time series to forecast |
---|---|
num_ahead | the number of points at the end of the time series to forecast |
level | Confidence level for prediction intervals. |
nn | Nearest neighbor component of the smoothing parameter.
Default value is 0.7, unless either |
deg | Degree of polynomial to use. |
a data.frame of the mean forecasts, the observed values, and the lower and upper CI levels (if an error occurs, then just NA values)