rsociality-ergmTerm {latentnet} | R Documentation |
Adds a random sociality 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: rsociality(var=1, var.df=3)
# valued: rsociality(var=1, var.df=3)
var |
The scale parameter for the scale-inverse-chi-squared
prior distribution of the sociality effect variance. To set
it in the |
var.df |
The degrees of freedom parameter for the
scale-inverse-chi-squared prior distribution of the sociality effect
variance. To set it in the |
The following parameters are associated with this term:
sociality
Numeric vector of values of each vertex's random sociality effect.
sociality.var
Random sociality effect's variance.
ergmTerm
for index of model terms currently visible to the package.
None