rsender-ergmTerm | R Documentation |
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)
var |
The scale parameter for the scale-inverse-chi-squared
prior distribution of the sender effect variance. To set
it in the |
var.df |
The degrees of freedom parameter for the
scale-inverse-chi-squared prior distribution of the sender effect
variance. To set it in the |
The following parameters are associated with this term:
sender
Numeric vector of values of each vertex's random sender effect.
sender.var
Random sender effect's variance.
This term can only be used with directed networks.
ergmTerm
for index of model terms currently visible to the package.
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