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)<dynamic-dots>
A set of name-value pairs. These arguments are
processed with rlang::quos() and support unquote via !! and
unquote-splice via !!!. Use := to create columns that start with a dot.
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 !! or
.env, e.g. !!.data or .env$.data for the special case of an object
named .data.
Structural variable(s) that identify each model.
Identifiers for the columns containing model(s).