rsociality-ergmTerm {latentnet}

Random sociality effect

Description

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.

Usage

# 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.

Keywords

None