R: Siena - Simulation Investigation for Empirical Network Analysis

# Siena - Simulation Investigation for Empirical Network Analysis

## Documentation for package ‘RSiena’ version 1.6.6

- DESCRIPTION file
- Package NEWS

## Help Pages

A B C D E F G H I M N O P R S T U V W X

RSiena-package | Simulation Investigation for Empirical Network Analysis

## -- A --

allEffects | Internal data frame used to construct effect objects.
as_composition_file_rsiena | Functions to create a Siena composition change object
as_composition_rsiena | Functions to create a Siena composition change object
as_covariate_rsiena | Function to create a covariate object
as_dependent_rsiena | Function to create a dependent variable for a Siena model
as_nodeset_rsiena | Function to create a node set

## -- B --

BehaviorDistribution | Auxiliary functions for goodness of fit assessment by 'test_gof'
behaviorExtraction | Auxiliary functions for goodness of fit assessment by 'test_gof'
behModelType | Functions to create objects containing various aspects of algorithm specifications for parameter estimation in RSiena

## -- C --

coCovar | Function to create a constant covariate object
coDyadCovar | Function to create a constant dyadic covariate object
coef | Methods for processing sienaFit objects, produced by 'siena'
coef.sienaFit | Methods for processing sienaFit objects, produced by 'siena'
covariate | Function to create a covariate object

## -- D --

descriptives | Functions to assess goodness of fit for SAOMs
descriptives.sienaGOF | Functions to assess goodness of fit for SAOMs
dyadicCov | Auxiliary functions for goodness of fit assessment by 'test_gof'

## -- E --

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.
egoAlterCombi | Auxiliary functions for goodness of fit assessment by 'test_gof'
egoAlterCovarComb | Auxiliary functions for goodness of fit assessment by 'test_gof'
entropy | Functions to assess the relative importance of effects at observation moments

## -- F --

funnelPlot | Plot function for a list of sienaFit objects

## -- G --

getEffects | Function to create a Siena effects object

## -- H --

HN3401 | Network data: excerpt from "Dutch Social Behavior Data Set" of Chris Baerveldt.
hn3401 | Network data: excerpt from "Dutch Social Behavior Data Set" of Chris Baerveldt.
HN3403 | Network data: excerpt from "Dutch Social Behavior Data Set" of Chris Baerveldt.
HN3404 | Network data: excerpt from "Dutch Social Behavior Data Set" of Chris Baerveldt.
HN3406 | Network data: excerpt from "Dutch Social Behavior Data Set" of Chris Baerveldt.

## -- I --

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
IndegreeDistribution | Auxiliary functions for goodness of fit assessment by 'test_gof'
influence.Table | Function to construct influence tables for SAOMs
influence.table | Function to construct influence tables for SAOMs
influenceTable | Function to construct influence tables for SAOMs
influencetable | Function to construct influence tables for SAOMs
initializeFRAN | Versions of FRAN
interpret_influence | Function to construct influence tables for SAOMs
interpret_influence.sienaFit | Function to construct influence tables for SAOMs
interpret_selection | Function to construct selection tables for SAOMs
interpret_selection.sienaFit | Function to construct selection tables for SAOMs
interpret_size | Functions to assess the relative importance of effects at observation moments
interpret_size.methods | Functions to assess the relative importance of effects at observation moments
interpret_size.sienaEffects | Functions to assess the relative importance of effects at observation moments
interpret_size.sienaFit | Functions to assess the relative importance of effects at observation moments
interpret_size_dynamics | Functions to assess the dynamics of relative importance of effects between observation moments
iwlsm | Function to fit an iterated weighted least squares model.
iwlsm.default | Function to fit an iterated weighted least squares model.
iwlsm.formula | Function to fit an iterated weighted least squares model.

## -- M --

make_constraint | Function to change the values of the constraints between networks
make_constraint.sienadata | Function to change the values of the constraints between networks
make_constraint.sienaGroup | Function to change the values of the constraints between networks
make_data_rsiena | Function to create a Siena data object
make_group_rsiena | Function to group together several Siena data objects
make_specification | Function to create a Siena effects object
make_specification.sienadata | Function to create a Siena effects object
make_specification.sienaGroup | Function to create a Siena effects object
maxlikec | Versions of FRAN
meta.table | Methods for processing sienaMeta objects
meta_siena | Function to perform a meta analysis of a collection of Siena fits.
mixedTriadCensus | Auxiliary functions for goodness of fit assessment by 'test_gof'
model.create | Functions to create objects containing various aspects of algorithm specifications for parameter estimation in RSiena
modelType | Functions to create objects containing various aspects of algorithm specifications for parameter estimation in RSiena
Multipar.RSiena | Wald and score tests for RSiena results

## -- N --

N3401 | Network data: excerpt from "Dutch Social Behavior Data Set" of Chris Baerveldt.
n3401 | Network data: excerpt from "Dutch Social Behavior Data Set" of Chris Baerveldt.
N3403 | Network data: excerpt from "Dutch Social Behavior Data Set" of Chris Baerveldt.
N3404 | Network data: excerpt from "Dutch Social Behavior Data Set" of Chris Baerveldt.
N3406 | Network data: excerpt from "Dutch Social Behavior Data Set" of Chris Baerveldt.
networkExtraction | Auxiliary functions for goodness of fit assessment by 'test_gof'

## -- O --

OutdegreeDistribution | Auxiliary functions for goodness of fit assessment by 'test_gof'

## -- P --

plot.interpret_size | Functions to assess the relative importance of effects at observation moments
plot.sienaGOF | Functions to assess goodness of fit for SAOMs
plot.sienaMeta | Methods for processing sienaMeta objects
plot.sienaRI | Functions to assess the relative importance of effects at observation moments
plot.sienaRIDynamics | Functions to assess the dynamics of relative importance of effects between observation moments
plot.sienaTimeTest | Functions to plot assessment of time heterogeneity of parameters
predict.iwlsm | Function to fit an iterated weighted least squares model.
print.interpret_size | Functions to assess the relative importance of effects at observation moments
print.iwlsm | Function to fit an iterated weighted least squares model.
print.sienaEffects | Print methods for Siena effects objects
print.sienaFit | Methods for processing sienaFit objects, produced by 'siena'
print.sienaMeta | Methods for processing sienaMeta objects
print.sienaRI | Functions to assess the relative importance of effects at observation moments
print.sienaTest | Print method for Wald and score tests for RSiena results
print.sienaTimeTest | Function to assess and account for time heterogeneity of parameters
print.summary.iwlsm | Summary method for Iterative Weighted Least Squares Models
print.summary.sienaEffects | Print methods for Siena effects objects
print.summary.sienaFit | Methods for processing sienaFit objects, produced by 'siena'
print.summary.sienaMeta | Methods for processing sienaMeta objects
print.xtable.sienaFit | Methods for processing sienaFit objects, produced by 'siena'
print01Report | Function to produce a basic descriptive report of SIENA data sets
psi.iwlsm | Function to fit an iterated weighted least squares model.

## -- R --

RSiena | Simulation Investigation for Empirical Network Analysis

## -- S --

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
score.Test | Wald and score tests for RSiena results
scoreTest | Wald and score tests for RSiena results
scoretest | Wald and score tests for RSiena results
selection.Table | Function to construct selection tables for SAOMs
selection.table | Function to construct selection tables for SAOMs
selectionTable | Function to construct selection tables for SAOMs
selectiontable | Function to construct selection tables for SAOMs
setEffect | Function to change the specification of a Siena model by setting various columns in an effects object.
set_algorithm | Functions to create objects containing various aspects of algorithm specifications for parameter estimation in RSiena
set_algorithm_saom | Functions to create objects containing various aspects of algorithm specifications for parameter estimation in RSiena
set_effect | Function to change the specification of a Siena model by setting various columns in an effects object.
set_effect.sienaEffects | Function to change the specification of a Siena model by setting various columns in an effects object.
set_interaction | Function to create user-specified interactions for a Siena model.
set_interaction.sienaEffects | Function to create user-specified interactions for a Siena model.
set_model | Functions to create objects containing various aspects of algorithm specifications for parameter estimation in RSiena
set_model_saom | Functions to create objects containing various aspects of algorithm specifications for parameter estimation in RSiena
set_output | Functions to create objects containing various aspects of algorithm specifications for parameter estimation in RSiena
set_output_saom | Functions to create objects containing various aspects of algorithm specifications for parameter estimation in RSiena
siena | Function to estimate parameters in a Siena model
siena.sienadata | Function to estimate parameters in a Siena model
siena.Test | Wald and score tests for RSiena results
siena07 | Function to estimate parameters in a Siena model
siena08 | Function to perform a meta analysis of a collection of Siena fits.
sienaAlgorithm | Functions to create objects containing various aspects of algorithm specifications for parameter estimation in RSiena
sienaAlgorithmCreate | Functions to create objects containing various aspects of algorithm specifications for parameter estimation in RSiena
sienaAlgorithmSettings | Functions to create objects containing various aspects of algorithm specifications for parameter estimation in RSiena
sienaCompositionChange | Functions to create a Siena composition change object
sienaCompositionChangeFromFile | Functions to create a Siena composition change object
sienadata | Function to create a Siena data 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
sienaEffects | Function to create a Siena effects object
sienaFit | Methods for processing sienaFit objects, produced by 'siena'
sienaFit.methods | Methods for processing sienaFit objects, produced by 'siena'
sienaGOF | Functions to assess goodness of fit for SAOMs
sienaGOF-auxiliary | Auxiliary functions for goodness of fit assessment by 'test_gof'
sienaGroup | Function to group together several Siena data objects
sienaGroupCreate | Function to group together several Siena data objects
sienaGroupEffects | Function to create a Siena effects object
sienaMeta | Function to perform a meta analysis of a collection of Siena fits.
sienaModel | Functions to create objects containing various aspects of algorithm specifications for parameter estimation in RSiena
sienaModelCreate | Functions to create objects containing various aspects of algorithm specifications for parameter estimation in RSiena
sienaNet | Function to create a dependent variable for a Siena model
sienaNodeSet | Function to create a node set
sienaOutputOptions | Functions to create objects containing various aspects of algorithm specifications for parameter estimation in RSiena
sienaRI | Functions to assess the relative importance of effects at observation moments
sienaRIDynamics | Functions to assess the dynamics of relative importance of effects between observation moments
sienaTest | Wald and score tests for RSiena results
sienatest | Wald and score tests for RSiena results
sienaTest.methods | Print method for Wald and score tests for RSiena results
sienaTimeTest | Function to assess and account for time heterogeneity of parameters
siena_table | Methods for processing sienaFit objects, produced by 'siena'
simstats0c | Versions of FRAN
sparseMatrixExtraction | Auxiliary functions for goodness of fit assessment by 'test_gof'
summary.iwlsm | Summary method for Iterative Weighted Least Squares Models
summary.sienaEffects | Print methods for Siena effects objects
summary.sienaFit | Methods for processing sienaFit objects, produced by 'siena'
summary.sienaMeta | Methods for processing sienaMeta objects

## -- T --

terminateFRAN | Versions of FRAN
testSame.RSiena | Wald and score tests for RSiena results
test_gof | Functions to assess goodness of fit for SAOMs
test_gof.sienaFit | Functions to assess goodness of fit for SAOMs
test_gof_auxiliary | Auxiliary functions for goodness of fit assessment by 'test_gof'
test_parameter | Wald and score tests for RSiena results
test_parameter.sienaFit | Wald and score tests for RSiena results
test_time | Function to assess and account for time heterogeneity of parameters
test_time.sienaFit | Function to assess and account for time heterogeneity of parameters
tmp3 | van de Bunt's Freshman dataset, time point 3
tmp4 | van de Bunt's Freshman dataset, time point 4
transformScript | Function to transform 'RSiena' and 'multiSiena' scripts
TriadCensus | Auxiliary functions for goodness of fit assessment by 'test_gof'

## -- U --

updateSpecification | A function to update the initial values of the parameters, and a function to update an effects object.
updateTheta | A function to update the initial values of the parameters, and a function to update an effects object.
update_specification | A function to update the initial values of the parameters, and a function to update an effects object.
update_specification.sienaEffects | A function to update the initial values of the parameters, and a function to update an effects object.
update_theta | A function to update the initial values of the parameters, and a function to update an effects object.
update_theta.sienaEffects | A function to update the initial values of the parameters, and a function to update an effects object.

## -- V --

varCovar | Function to create a changing covariate object.
varDyadCovar | Function to create a changing dyadic covariate object.
vcov | Methods for processing sienaFit objects, produced by 'siena'
vcov.sienaFit | Methods for processing sienaFit objects, produced by 'siena'

## -- W --

Wald | Wald and score tests for RSiena results
Wald.RSiena | Wald and score tests for RSiena results
write_report | Function to produce a basic descriptive report of SIENA data sets
write_report.sienadata | Function to produce a basic descriptive report of SIENA data sets
write_result | Methods for processing sienaFit objects, produced by 'siena'
write_result.sienaFit | Methods for processing sienaFit objects, produced by 'siena'

## -- X --

xtable | Access xtable in package xtable
xtable.sienaFit | Methods for processing sienaFit objects, produced by 'siena'