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" has the extra functionality of function sienaBayes, and is distributed through R-Forge, see http://r-forge.r-project.org/R/?group_id=461. Package "RSiena" is the official release. The

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.

Functions siena07, sienacpp, and sienaBayes can be used to fit a model.

Function sienaGOF can be used for studying goodness of fit.

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: RSienaTest
Type: Package
Version: 1.2-30
Date: 2021-07-13
Depends: R (>= 2.15.0)
Imports: Matrix, lattice, parallel, MASS, methods
Suggests: xtable, network, tools, codetools, utils, tcltk
SystemRequirements: GNU make
License: GPL-3
LazyData: yes
NeedsCompilation: yes
BuildResaveData: no

Author(s)

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

Maintainer: Tom A.B. Snijders <tom.snijders@nuffield.ox.ac.uk>

References

See Also

siena07

Examples

1
2
3
4
5
6
7
8
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)

RSienaTest documentation built on July 14, 2021, 3 a.m.