rreceiver-ergmTerm-abdcadad function

Random receiver effect

Adds a random receiver 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 list("latentnet")'s ergmm() only. Using it in ergm() will result in an error.

# binary: rreceiver(var=1, var.df=3)

# valued: rreceiver(var=1, var.df=3)

Arguments

• var: The scale parameter for the scale-inverse-chi-squared prior distribution of the receiver effect variance. To set it in the prior argument to ergmm, use receiver.var.
• var.df: The degrees of freedom parameter for the scale-inverse-chi-squared prior distribution of the receiver effect variance. To set it in the prior argument to ergmm, use receiver.var.df.

Details

The following parameters are associated with this term:

• receiver: Numeric vector of values of each vertex's random receiver effect.
• receiver.var: Random receiver effect's variance.

Note

This term can only be used with directed networks.

See Also

ergmTerm for index of model terms currently visible to the package.

ergm:::.formatTermKeywords("ergmTerm", "rreceiver", "subsection")