rsender-ergmTerm-b342610b: Random sender effect

In statnet/latentnet: Latent Position and Cluster Models for Statistical Networks

Random sender effect

Description

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 latentnet's ergmm() only. Using it in ergm() will result in an error.

Usage

# 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.

\Sexpr[results=rd,stage=render]{ergm:::.formatTermKeywords("ergmTerm", "rsender", "subsection")}

statnet/latentnet documentation built on Feb. 24, 2024, 4:02 p.m.