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 <>.

Version: 1.2-23
Depends: R (≥ 2.15.0)
Imports: Matrix, tcltk, lattice, parallel, MASS, methods
Suggests: xtable, network, tools, codetools
Published: 2020-01-12
Author: Ruth Ripley, Krists Boitmanis, Tom A.B. Snijders, Felix Schoenenberger, Nynke Niezink
Maintainer: Tom A.B. Snijders <tom.snijders at>
License: GPL (≥ 3)
NeedsCompilation: yes
SystemRequirements: GNU make, tcl/tk 8.5, Tktable
Citation: RSiena citation info
Materials: ChangeLog
In views: SocialSciences
CRAN checks: RSiena results


Reference manual: RSiena.pdf
Package source: RSiena_1.2-23.tar.gz
Windows binaries: r-devel:, r-devel-gcc8:, r-release:, r-oldrel:
OS X binaries: r-release: RSiena_1.2-23.tgz, r-oldrel: RSiena_1.2-23.tgz
Old sources: RSiena archive

Reverse dependencies:

Reverse enhances: texreg


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