Plottable netobject(s) from a GIMME fit

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().

Usage

# S3 method for class 'net_gimme'
as_netobject(x, style = c("pnode", "unified"), weight = c("prop", "coef"), ...)

Arguments

x

A net_gimme object.

style

Either "pnode" (default) — a netobject_group of two directed p-node networks, $temporal (lagged; autoregression on the diagonal) and $contemporaneous (same-beep), matching the shape fit_graphical_var() returns — or "unified", a single directed 2p-node network with the *_lag half feeding the current half (the literal uSEM topology).

weight

Either "prop" (default) — edge weight is the proportion of subjects with the path — or "coef", the group-average standardized coefficient.

...

Unused.

Value

For style = "pnode", a netobject_group with $temporal and $contemporaneous. For style = "unified", one c("netobject", "cograph_network") object with 2p nodes.

See also

plot_gimme() for the faithful gimme-style mixed plot.