Fits a baseline forecasting model to observed data.
fit_baseline(x, model, temporal_info = NULL)
Arguments
- x
Numeric vector of time series data
- model
A model created using ConstantModel(), ARMAModel(), ETSModel(),
or other model functions (see ?ConstantModel for available models)
- temporal_info
Optional TemporalInfo object with start date and
resolution
Value
A fitted model object that can be used for forecasting
Examples
if (FALSE) { # \dontrun{
data <- c(1.2, 2.3, 3.1, 2.8, 3.5, 4.2, 3.9)
model <- ARMAModel(p = 1, q = 1)
fitted <- fit_baseline(data, model)
} # }