rsociality-ergmTerm-7ae668b9 function

Random sociality effect

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 list("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)

Arguments

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

Details

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.

See Also

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

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