Intercept-ergmTerm-49126971: Intercept

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

Intercept

Description

This term serves as an intercept term, is included by default (though, as in lm, it can be excluded by adding +0 or -1 into the model formula). It adds one covariate to the model, for which x[i,j]=1 for all i and j.

It can be used explicitly to set prior mean and variance for the intercept term.

This term differs from the ergm's edges-ergmTerm term if the network has self-loops.

Important: This term works in latentnet's ergmm() only. Using it in ergm() will result in an error.

Usage

# binary: 1(mean=0, var=9)

# binary: Intercept(mean=0, var=9)

# binary: intercept(mean=0, var=9)

# valued: 1(mean=0, var=9)

# valued: Intercept(mean=0, var=9)

# valued: intercept(mean=0, var=9)

Arguments

mean, var

prior mean and variance.

See Also

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

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

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