rsender-ergmTerm-b342610b function

Random sender effect

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 list("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)

Arguments

• var: 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.
• 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 prior argument to ergmm, use sender.var.df.

Details

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.

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", "rsender", "subsection")