| ergm-terms {ergm.count} | R Documentation |
This page describes the possible terms (and hence network statistics)
included in the ergm.count package.
See the ergm-terms documentation in the
ergm package for a complete description of what ERGM terms are
and how they are used.
ergm.count pacakgeAll terms listed are valued.
CMPConway-Maxwell-Poisson Distribution: This term adds one statistic to the model, of the form ∑_{i,j}-\log(y_{i,j}!). This turns a Poisson- or a geometric-reference ERGM into a Conway-Maxwell-Poisson-reference ERGM, allowing it to represent a broad range of disperson values.
Note that its current implementation may not perform well if the data are overdispersed relative to geometric.
Handcock M. S., Hunter D. R., Butts C. T., Goodreau S. G., Krivitsky P. N. and Morris M. (2012). _Fit, Simulate and Diagnose Exponential-Family Models for Networks_. Version 3.1. Project home page at <URL: http://www.statnet.org>, <URL: CRAN.R-project.org/package=ergm>.
Krivitsky P. N. (2012). Exponential-Family Random Graph Models for Valued Networks. Electronic Journal of Statistics, 2012, 6, 1100-1128. doi:10.1214/12-EJS696
Shmueli G., Minka T. P., Kadane J. B., Borle S., and Boatwright P. (2005). A Useful Distribution for Fitting Discrete Data: Revival of the Conway–Maxwell–Poisson Distribution. Journal of the Royal Statistical Society: Series C, 54(1): 127-142.
ergm-terms (from the ergm package), ergm, network, %v%, %n%