Intercept-ergmTerm {latentnet}

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.

Keywords

None