A mable (model table) data class (
mdl_df) is a tibble-like data structure
for applying multiple models to a dataset. Each row of the mable refers to a
different time series from the data (identified by the key columns). A mable
must contain at least one column of time series models (
mdl_ts), where the
list column itself (
lst_mdl) describes how these models are related.
mable(..., key = NULL, model = NULL, models = NULL)
A set of name-value pairs. Arguments are evaluated sequentially,
so you can refer to previously created elements. These arguments are
Structural variable(s) that identify each model.
Identifiers for the columns containing model(s).
Deprecated in favour of the model argument.