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)
... | < Arguments are evaluated sequentially.
You can refer to previously created elements directly or using the .data
pronoun.
To refer explicitly to objects in the calling environment, use |
---|---|
key | Structural variable(s) that identify each model. |
model | Identifiers for the columns containing model(s). |