nodeofactor-ergmTerm {ergm} | R Documentation |
Factor attribute effect for out-edges
Description
This term adds multiple network
statistics to the model, one for each of (a subset of) the unique
values of the attr
attribute (or each combination of the
attributes given). Each of these statistics gives the number of
times a node with that attribute or those attributes appears as the
node of origin of a directed tie.
Usage
# binary: nodeofactor(attr, base=1, levels=-1)
# valued: nodeofactor(attr, base=1, levels=-1, form="sum")
Arguments
attr |
a vertex attribute specification (see Specifying Vertex attributes and Levels ( |
base |
deprecated |
levels |
this optional argument controls which levels of the attribute
attributes and Levels ( |
form |
character how to aggregate tie values in a valued ERGM |
Note
The argument base
is retained for backwards compatibility and may be
removed in a future version. When both base
and levels
are passed,
levels
overrides base
.
To include all attribute values is usually not a good idea, because
the sum of all such statistics equals the number of edges and hence a linear
dependency would arise in any model also including edges
. The default,
levels=-1
, is therefore to omit the first (in lexicographic order)
attribute level. To include all levels, pass either levels=TRUE
(i.e., keep all levels) or levels=NULL
(i.e., do not filter levels).
This term can only be used with directed networks.
See Also
ergmTerm
for index of model terms currently visible to the package.
Keywords
categorical nodal attribute, directed, dyad-independent, binary, valued