receivercov-ergmTerm-ea158ece function

Receiver covariate effect

Deprecated for networks without self-loops. Use nodeicov-ergmTerm, nodeifactor-ergmTerm, nodecov-ergmTerm or nodefactor-ergmTerm instead.

If the attribute is numeric, this term adds one covariate to the model equaling attrname(i). If the attribute is not numeric or force.factor==TRUE, this term adds $p-1$

covariates to the model, where $p$ is the number of unique values of attrname. The $k$th such covariate has the value attrname(i) == value(k+1), where value(k) is the $k$th smallest unique value of the attrname

attribute. This term only makes sense if the network is directed.

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

# binary: receivercov(attrname, force.factor=FALSE, mean=0, var=9)

# valued: receivercov(attrname, force.factor=FALSE, mean=0, var=9)

Arguments

• attrname: a character string giving the name of an attribute in the network's vertex attribute list.
• force.factor: logical, indicating if attrname's value should be interpreted as categorical even if numeric.
• mean, var: prior mean and variance.

Note

This term can only be used with directed networks.

See Also

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

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