Siena - Simulation Investigation for Empirical Network Analysis

The main purpose of this package is to perform simulation-based estimation of stochastic actor-oriented models for longitudinal network data collected as panel data. Dependent variables can be single or multivariate networks, which can be directed, non-directed, or two-mode; and associated actor variables. There are also functions for testing parameters and checking goodness of fit. An overview of these models is given in Tom A.B. Snijders (2017), Stochastic Actor-Oriented Models for Network Dynamics, Annual Review of Statistics and Its Application, 4, 343-363 . An extensive manual, scripts, and much further information is at the Siena website <>.


Reference manual

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1.3.0 by Tom A.B. Snijders, 4 months ago

Browse source code at

Authors: Tom A.B. Snijders [cre, aut] , Ruth Ripley [aut] , Christian Steglich [aut, ctb] , Johan Koskinen [aut, ctb] , Nynke Niezink [aut, ctb] , Viviana Amati [aut, ctb] , Christoph Stadtfeld [ctb] , James Hollway [ctb] (IHEID , , Per Block [ctb] , Robert Krause [ctb] , Charlotte Greenan [ctb] , Josh Lospinoso [ctb] , Michael Schweinberger [ctb] , Mark Huisman [ctb] , Krists Boitmanis [ctr] , Felix Schoenenberger [ctb] , Mark Ortmann [ctb] , Marion Hoffman [ctb] , Robert Hellpap [ctb] , Alvaro Uzaheta [ctb]

Documentation:   PDF Manual  

Task views: Statistics for the Social Sciences

GPL-2 | GPL-3 | file LICENSE license

Imports Matrix, lattice, parallel, MASS, methods, xtable

Suggests network, tools, codetools, tcltk

System requirements: GNU make

Suggested by btergm, netdiffuseR.

See at CRAN