| nodefactor-ergmTerm {ergm} | R Documentation |
Factor attribute effect
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 in an edge in the
network.
Usage
# binary: nodefactor(attr, base=1, levels=-1)
# valued: nodefactor(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
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).
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.
See Also
ergmTerm for index of model terms currently visible to the package.
Keywords
categorical nodal attribute, directed, dyad-independent, frequently-used, undirected, binary, valued