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RSiena (version 1.4.7)

Siena - Simulation Investigation for Empirical Network Analysis

Description

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 Snijders (2017), .

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Version

Install

install.packages('RSiena')

Monthly Downloads

1,287

Version

1.4.7

License

GPL-2 | GPL-3 | file LICENSE

Maintainer

Tom Snijders

Last Published

February 21st, 2024

Functions in RSiena (1.4.7)

print.sienaEffects

Print methods for Siena effects objects
print.sienaMeta

Methods for processing sienaMeta objects
n3401

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

Functions to plot assessment of time heterogeneity of parameters
iwlsm

Function to fit an iterated weighted least squares model.
print.sienaTest

Print method for Wald and score tests for RSiena results
includeGMoMStatistics

Function to include GMoM statistics in a Siena model
includeInteraction

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

Function to include effects in a Siena model
s50s

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

Function to include time dummy effects in a Siena model
s501

Network 1 data: excerpt from "Teenage Friends and Lifestyle Study" data.
print01Report

Function to produce the Siena01 report from R objects
siena07

Function to estimate parameters in a Siena model
setEffect

Function to set various columns in an effects object in a Siena model.
siena08

Function to perform a meta analysis of a collection of Siena fits.
s50

Network data: excerpt from "Teenage Friends and Lifestyle Study" data.
s50a

Alcohol use data: excerpt from "Teenage Friends and Lifestyle Study" data
s503

Network 3 data: excerpt from "Teenage Friends and Lifestyle Study" data.
s502

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

Functions to assess goodness of fit for SAOMs
sienaNodeSet

Function to create a node set
sienaCompositionChange

Functions to create a Siena composition change object
sienaDataCreate

Function to create a Siena data object
sienaAlgorithmCreate

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

Function to create a dependent variable for a Siena model
sienaDataConstraint

Function to change the values of the constraints between networks.
sienaFit.methods

Methods for processing sienaFit objects, produced by siena07.
sienaGroupCreate

Function to group together several Siena data objects
sienaGOF-auxiliary

Auxiliary functions for goodness of fit assessment by sienaGOF
tmp3

van de Bunt's Freshman dataset, time point 3
summary.iwlsm

Summary method for Iterative Weighted Least Squares Models
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
simstats0c

Versions of FRAN
tmp4

van de Bunt's Freshman dataset, time point 4
sienaTimeTest

Functions to assess and account for time heterogeneity of parameters
coDyadCovar

Function to create a constant dyadic covariate object.
allEffects

Internal data frame used to construct effect objects.
getEffects

Function to create a Siena effects object
Wald

Wald and score tests for RSiena results
hn3401

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

Function to create a constant covariate object
edit.sienaEffects

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

Plot function for a list of sienaFit objects
RSiena-package

Simulation Investigation for Empirical Network Analysis
effectsDocumentation

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