ergm.ego-terms {ergm.ego} | R Documentation |
ergm
Terms Implemented for
egor
Description
This page describes the ergm
terms (and hence network
statistics) for which inference based on egocentrically sampled data is
implemented in ergm.ego
package. Other packages may add their own
terms. These functions should not be called by the end-user.
Details
The current recommendation for any package implementing additional
egocentric calculator terms is to create a help file with a name or alias
ergm.ego-terms
, so that help("ergm.ego-terms")
will
list egocentric ERGM terms available from all loaded packages.
Currently implemented egocentric statistics
For each of these,
please see their respective package's ergm-terms
help for meaning and
parameters. The simplest way to do this is usually via ? TERM
.
- Special-purpose terms:
-
- netsize.adj(edges=+1, mutual=0, transitiveties=0, cyclicalties=0)
A special-purpose term equivalent to a linear combination of
edges-ergmTerm
,mutual-ergmTerm
,transitiveties-ergmTerm
, andcyclicalties-ergmTerm
, to house the network-size adjustment offset. This term is added to the model automatically and should not be used in the model formula directly.
- ergm:
-
-
offset
-
edges
-
nodecov
-
nodefactor
-
nodematch
-
nodemix
-
absdiff
-
degree
-
degrange
-
concurrent
-
concurrentties
-
degree1.5
-
transitiveties
-
cyclicalties
-
esp
-
gwesp
-
gwdegree
-
mm
-
meandeg
*
-
- tergm:
-
-
mean.age
*
-
Starred terms are nonscaling, in that while they can be evaluated, some inferential results and standard error calculation methods may not be applicable.