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RSiena (version 1.2-23)

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 Tom A.B. Snijders (2017), Stochastic Actor-Oriented Models for Network Dynamics, Annual Review of Statistics and Its Application, 4, 343-363 . An extensive manual, scripts, and much further information is at the Siena website .

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Version

Install

install.packages('RSiena')

Monthly Downloads

1,287

Version

1.2-23

License

GPL (>= 3)

Maintainer

Tom Snijders

Last Published

January 12th, 2020

Functions in RSiena (1.2-23)

s501

Network 1 data: excerpt from "Teenage Friends and Lifestyle Study" data.
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.
n3401

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

Function to create a dependent variable for a Siena model
hn3401

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

Function to create a Siena data object
includeEffects

Function to include effects in a Siena model
includeTimeDummy

Function to include time dummy effects in a Siena model
summary.iwlsm

Summary method for Iterative Weighted Least Squares Models
includeInteraction

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

Simulation Investigation for Empirical Network Analysis
tmp3

van de Bunt's Freshman dataset, time point 3
plot.sienaTimeTest

Functions to plot assessment of time heterogeneity of parameters
coDyadCovar

Function to create a constant dyadic covariate object.
iwlsm

Function to fit an iterated weighted least squares model.
effectsDocumentation

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

Allow editing of a sienaEffects object if a gui is available.
simstats0c

Versions of FRAN
varDyadCovar

Function to create a changing dyadic covariate object.
sienaCompositionChange

Functions to create a Siena composition change object
s502

Network 2 data: excerpt from "Teenage Friends and Lifestyle Study" data.
s503

Network 3 data: excerpt from "Teenage Friends and Lifestyle Study" data.
s50s

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

Wald and score tests for RSiena results
sienaDataConstraint

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

s50a

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

Function to create a Siena effects object
sienaGOF-auxiliary

varCovar

Function to create a changing covariate object.
print.sienaEffects

Print methods for Siena effects objects
print.sienaMeta

Methods for processing sienaMeta objects
setEffect

Function to set various columns in an effects object in a Siena model.
siena07

Function to estimate parameters in a Siena model
sienaRI

Functions to assess the relative importance of effects at observation moments
maxlikefn

A ML version of FRAN
tmp4

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

Function to create a node set
xtable

Access xtable in package xtable
updateTheta

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

Functions to assess goodness of fit for SAOMs
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
sienaGroupCreate

Function to group together several Siena data objects
sienaTimeTest

Functions to assess and account for time heterogeneity of parameters
allEffects

Internal data frame used to construct effect objects.
coCovar

Function to create a constant covariate object