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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 <http://www.stats.ox.ac.uk/~snijders/siena/>.

Functions (51)

RSiena-package

Simulation Investigation for Empirical Network Analysis

Wald

Wald and score tests for RSiena results

allEffects

Internal data frame used to construct effect objects.

coCovar

Function to create a constant covariate object

coDyadCovar

Function to create a constant dyadic covariate object.

edit.sienaEffects

Allow editing of a sienaEffects object if a gui is available.

effectsDocumentation

Function to create a table of documentation of effect names, short names etc.

funnelPlot

Plot function for a list of sienaFit objects

getEffects

Function to create a Siena effects object

hn3401

Network data: excerpt from "Dutch Social Behavior Data Set" of Chris Baerveldt.

includeEffects

Function to include effects in a Siena model

includeGMoMStatistics

Function to include GMoM statistics in a Siena model

includeInteraction

Function to create user-specified interactions for a Siena model.

includeTimeDummy

Function to include time dummy effects in a Siena model

iwlsm

Function to fit an iterated weighted least squares model.

maxlikefn

A ML version of FRAN

n3401

Network data: excerpt from "Dutch Social Behavior Data Set" of Chris Baerveldt.

plot.sienaTimeTest

Functions to plot assessment of time heterogeneity of parameters

print.sienaEffects

Print methods for Siena effects objects

print.sienaMeta

Methods for processing sienaMeta objects

print.sienaTest

Print method for Wald and score tests for RSiena results

print01Report

Function to produce the Siena01 report from R objects

s50

Network data: excerpt from "Teenage Friends and Lifestyle Study" data.

s501

Network 1 data: excerpt from "Teenage Friends and Lifestyle Study" data.

s502

Network 2 data: excerpt from "Teenage Friends and Lifestyle Study" data.

s503

Network 3 data: excerpt from "Teenage Friends and Lifestyle Study" data.

s50a

Alcohol use data: excerpt from "Teenage Friends and Lifestyle Study" data

s50s

Smoking data: excerpt from "Teenage Friends and Lifestyle Study" data

setEffect

Function to set various columns in an effects object in a Siena model.

siena07

Function to estimate parameters in a Siena model

siena08

Function to perform a meta analysis of a collection of Siena fits.

sienaAlgorithmCreate

Function to create an object containing the algorithm specifications for parameter estimation in RSiena

sienaCompositionChange

Functions to create a Siena composition change object

sienaDataConstraint

Function to change the values of the constraints between networks.

sienaDataCreate

Function to create a Siena data object

sienaDependent

Function to create a dependent variable for a Siena model

sienaFit

Methods for processing sienaFit objects, produced by siena07.

sienaGOF

Functions to assess goodness of fit for SAOMs

sienaGOF-auxiliary

Auxiliary functions for goodness of fit assessment by sienaGOF

sienaGroupCreate

Function to group together several Siena data objects

sienaNodeSet

Function to create a node set

sienaRI

Functions to assess the relative importance of effects at observation moments

sienaTimeTest

Functions to assess and account for time heterogeneity of parameters

simstats0c

Versions of FRAN

summary.iwlsm

Summary method for Iterative Weighted Least Squares Models

tmp3

van de Bunt's Freshman dataset, time point 3

tmp4

van de Bunt's Freshman dataset, time point 4

updateTheta

A function to update the initial values of theta, and a function to update an effects object.

varCovar

Function to create a changing covariate object.

varDyadCovar

Function to create a changing dyadic covariate object.

xtable

Access xtable in package xtable

RSiena

Siena - Simulation Investigation for Empirical Network Analysis

v1.3.0

GPL-2 | GPL-3 | file LICENSE

Authors

Tom A.B. Snijders [cre, aut] (<https://orcid.org/0000-0003-3157-4157>), Ruth Ripley [aut], Christian Steglich [aut, ctb] (<https://orcid.org/0000-0002-9097-0873>), Johan Koskinen [aut, ctb] (<https://orcid.org/0000-0002-6860-325X>), Nynke Niezink [aut, ctb], Viviana Amati [aut, ctb] (<https://orcid.org/0000-0003-1190-1237>), Christoph Stadtfeld [ctb] (<https://orcid.org/0000-0002-2704-2134>), James Hollway [ctb] (IHEID, <https://orcid.org/0000-0002-8361-9647>), Per Block [ctb], Robert Krause [ctb], Charlotte Greenan [ctb], Josh Lospinoso [ctb], Michael Schweinberger [ctb] (<https://orcid.org/0000-0003-3649-5386>), Mark Huisman [ctb], Krists Boitmanis [ctr], Felix Schoenenberger [ctb], Mark Ortmann [ctb], Marion Hoffman [ctb], Robert Hellpap [ctb], Alvaro Uzaheta [ctb]

Initial release

2021-05-02

RSiena

Functions (51)

RSiena

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