RSiena: 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 <doi: 10.1146/annurev-statistics-060116-054035>. An extensive manual, scripts, and much further information is at the Siena website <>.

Package details

AuthorTom 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]
MaintainerTom A.B. Snijders <>
LicenseGPL-2 | GPL-3 | file LICENSE
Package repositoryView on CRAN
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RSiena documentation built on Nov. 16, 2021, 1:07 a.m.