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Returns the three networks as netobjects oriented for plotting (temporal edges run predictor -> outcome, matching fit_graphical_var), so cograph::splot() renders them consistently. The raw fit$temporal$weights keep mlVAR's [outcome, predictor] layout for equivalence.

Usage

# S3 method for class 'net_mlvar'
as_netobject(x, ...)

Arguments

x

A net_mlvar object.

...

Unused.

Value

A netobject_group with $temporal, $contemporaneous, $between.