Estimates fitted curves and baseline using the nnetar function
in the forecast package. This is a Feed-forward neural network
with a single hidden layer and lagged inputs for forecasting
univariate time series.
flunnet()
| data | A dataframe class object, must contain time variable, epidemic indicator, and measure of influenza morbidity |
|---|---|
| outc | an unquoted name of a column in data which corresponds to the outcome variable of interest |
| time | an unquoted name of a column in data object, must be a numeric/integer class variable in dataframe which corresponds to a unit of time, must be unique (i.e. non-repeating) |
| season | Either 'T', where the epidemic baseline model will be created assuming time variable is a date, and Oct-May is epidemic season, or the name of a column which is a logical vector flagging a given week as epidemic or not |
| echo | A logical, if T will print variables used in model. |
| ... | other options passed on to |
an object of class data.frame, fit, upper and lower confidence bounds