ergmReference: Reference Measures for Exponential-Family Random Graph Models
In ergm: Fit, Simulate and Diagnose Exponential-Family Models for Networks

ergmReference

R Documentation

Reference Measures for Exponential-Family Random Graph Models

Description

This page describes how to specify the reference measures (baseline distributions) (the set of possible networks Y and the baseline weights h(y) to functions in the ergm package. It also provides an indexed list of the references visible to the ergm's API. References can also be searched via search.ergmReferences(), and help for an individual reference can be obtained with ⁠ergmReference?<reference>⁠ or help("<reference>-ergmReference").

Specifying reference measures

\ERGMspec

The reference measure (Y,h(y)) is specified on the right-hand side of a one-sided formula passed typically as the reference argument.

Reference measures visible to the package

\ergmCSS \Sexpr[results=rd,stage=render]{ergm:::.formatIndexHtml(ergm:::.buildTermsDataframe("ergmReference"))}

All references

\Sexpr[results=rd,stage=render]{ergm:::.formatMatrixHtml(ergm:::.termMatrix("ergmReference"))}

References by keywords

\Sexpr[results=rd,stage=render]{ergm:::.formatTocHtml(ergm:::.termToc("ergmReference"))}

References

Hunter DR, Handcock MS, Butts CT, Goodreau SM, Morris M (2008b). ergm: A Package to Fit, Simulate and Diagnose Exponential-Family Models for Networks. Journal of Statistical Software, 24(3). \Sexpr[results=rd]{tools:::Rd_expr_doi("10.18637/jss.v024.i03")}
Krivitsky PN (2012). Exponential-Family Random Graph Models for Valued Networks. Electronic Journal of Statistics, 2012, 6, 1100-1128. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1214/12-EJS696")}