Add one network statistic to the model equal to a weighted alternating
sequence of \(k\)-star statistics with weight parameter lambda.
# binary: altkstar(lambda,
# fixed=FALSE)weight parameter to model
indicates whether the decay parameter is
fixed at the given value, or is to be fit as a curved exponential family model
(see Hunter and Handcock, 2006). The default is FALSE, which means the scale
parameter is not fixed and thus the model is a CEF model.
This is the version given in Snijders et al. (2006). The gwdegree and
altkstar produce mathematically equivalent models, as long as they are used
together with the edges (or kstar(1)) term, yet the interpretation of the
gwdegree parameters is slightly more straightforward than the interpretation
of the altkstar parameters. For this reason, we recommend the use of the
gwdegree instead of altkstar. See Section 3 and especially equation (13)
of Hunter (2007) for details.
ergmTerm for index of model terms currently visible to the package.
ergm:::.formatTermKeywords("ergmTerm", "altkstar", "subsection")