Make forecasts using neural network time series model

nnet_ts fits a neural network time series model using nnetTs

nnet_ts(timeseries, num_ahead = 5, level = 95, m = 1, size = 1,
  ...)

Arguments

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.
m	embedding dimension, time delay, forecasting steps
size	number of hidden units in the neural network
...	arguments to be passed to `predict.nlar`

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)