Adds a random sender effect to the model, with normal prior centered around \(0\) and a variance that is estimated. Can only be used on directed networks.
Important: This term works in latentnet's ergmm() only. Using it in ergm() will result in an error.
# binary: rsender(var=1, var.df=3)# valued: rsender(var=1, var.df=3)
The scale parameter for the scale-inverse-chi-squared
prior distribution of the sender effect variance. To set
it in the prior argument to ergmm, use
sender.var.
The degrees of freedom parameter for the
scale-inverse-chi-squared prior distribution of the sender effect
variance. To set it in the prior argument to
ergmm, use sender.var.df.
The following parameters are associated with this term:
senderNumeric vector of values of each vertex's random sender effect.
sender.varRandom sender effect's variance.
ergmTerm for index of model terms currently visible to the package.
ergm:::.formatTermKeywords("ergmTerm", "rsender", "subsection")