RSiena-package: Simulation Investigation for Empirical Network Analysis

Description Details Author(s) References See Also Examples

Description

Fits statistical models to longitudinal sets of networks, and to longitudinal sets of networks and behavioral variables. Not only one-mode networks but also two-mode networks and multivariate networks are allowed. The models are stochastic actor-oriented models.

Package "RSienaTest" is the development version, and is distributed through R-Forge, see http://r-forge.r-project.org/R/?group_id=461. Package "RSiena" is the official release.

Details

The main flow of operations of this package is as follows.

Data objects can be created from matrices and vectors using sienaDependent, coCovar, varCovar, coDyadCovar, etc., and finally sienaDataCreate.

Effects are selected using an sienaEffects object, which can be created using getEffects and may be further specified by includeEffects, setEffect, and includeInteraction.

Control of the estimation algorithm requires a sienaAlgorithm object that defines the settings (parameters) of the algorithm, and which can be created by sienaAlgorithmCreate.

Function siena07 is used to fit a model.

A general introduction to the method is available in the tutorial paper Snijders, van de Bunt, and Steglich (2010). Next to the help pages, more detailed help is available in the manual (see below) and a lot of information is at the website (also see below).

Package: RSiena
Type: Package
Version: 1.2-11
Date: 2018-05-06
Depends: R (>= 3.0.0)
Imports: Matrix
Suggests: tcltk, network, codetools, lattice, MASS, parallel, xtable, tools, utils
SystemRequirements: GNU make, tcl/tk 8.5, Tktable
License: GPL-2
LazyData: yes
NeedsCompilation: yes
BuildResaveData: no

Author(s)

Ruth Ripley, Krists Boitmanis, Tom Snijders, Felix Schoenenberger. Contributions by Josh Lospinoso, Charlotte Greenan, Christian Steglich, Johan Koskinen, Mark Ortmann, Nynke Niezink, Natalie Indlekofer, Christoph Stadtfeld, and Robert Hellpap.

Maintainer: Tom A.B. Snijders <[email protected]>

References

See Also

siena07

Examples

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mynet1 <- sienaDependent(array(c(tmp3, tmp4), dim=c(32, 32, 2)))
mydata <- sienaDataCreate(mynet1)
myeff <- getEffects(mydata)
myeff <- includeEffects(myeff, transTrip)
myeff
myalgorithm <- sienaAlgorithmCreate(nsub=3, n3=200)
ans <- siena07(myalgorithm, data=mydata, effects=myeff, batch=TRUE)
summary(ans)

RSiena documentation built on May 6, 2018, 3:01 p.m.