ergmReference: Reference Measures for Exponential-Family Random Graph Models

ergmReferenceR Documentation

Reference Measures for Exponential-Family Random Graph Models


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


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


References by keywords



  • 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")}

See Also

ergm, network, sna, summary.ergm, print.ergm, ⁠\%v\%⁠, ⁠\%n\%⁠

ergm documentation built on May 31, 2023, 8:04 p.m.