| as_netobject.net_gimme | R Documentation |
Returns the GIMME result as matrix-backed netobjects. By default these encode
the same quantity the gimme package plots — the proportion of subjects
that have each path (path_counts / n_subjects) — not the group-average
coefficient (which dilutes toward zero and is not what GIMME displays). For
the faithful single mixed network (dashed lag / solid contemporaneous,
group/individual colouring, autoregressive self-loops) use plot_gimme().
## S3 method for class 'net_gimme'
as_netobject(x, style = c("pnode", "unified"), weight = c("prop", "coef"), ...)
x |
A |
style |
Either |
weight |
Either |
... |
Unused. |
For style = "pnode", a netobject_group with $temporal and
$contemporaneous. For style = "unified", one
c("netobject", "cograph_network") object with 2p nodes.
plot_gimme() for the faithful gimme-style mixed plot.
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