Siena - Simulation Investigation for Empirical Network Analysis
Function to create a constant covariate object
Function to create a constant dyadic covariate object.
Allow editing of a sienaEffects object if a gui is available.
Function to create a table of documentation of effect names, short nam...
Plot function for a list of sienaFit objects
Function to create a Siena effects object
Network data: excerpt from "Dutch Social Behavior Data Set" of Chris B...
Function to include effects in a Siena model
Function to include GMoM statistics in a Siena model
Function to create user-specified interactions for a Siena model.
Function to include time dummy effects in a Siena model
Function to fit an iterated weighted least squares model.
Network data: excerpt from "Dutch Social Behavior Data Set" of Chris B...
Functions to plot assessment of time heterogeneity of parameters
Print methods for Siena effects objects
Methods for processing sienaMeta objects
Print method for Wald and score tests for RSiena results
Function to produce the Siena01 report from R objects
Simulation Investigation for Empirical Network Analysis
Network data: excerpt from "Teenage Friends and Lifestyle Study" data.
Network 1 data: excerpt from "Teenage Friends and Lifestyle Study" dat...
Network 2 data: excerpt from "Teenage Friends and Lifestyle Study" dat...
Network 3 data: excerpt from "Teenage Friends and Lifestyle Study" dat...
Alcohol use data: excerpt from "Teenage Friends and Lifestyle Study" d...
Smoking data: excerpt from "Teenage Friends and Lifestyle Study" data
Function to set various columns in an effects object in a Siena model.
Function to estimate parameters in a Siena model
Function to perform a meta analysis of a collection of Siena fits.
Function to create an object containing the algorithm specifications f...
Functions to create a Siena composition change object
Function to change the values of the constraints between networks.
Function to create a Siena data object
Function to create a dependent variable for a Siena model
Methods for processing sienaFit objects, produced by siena07.
Auxiliary functions for goodness of fit assessment by sienaGOF
Functions to assess goodness of fit for SAOMs
Function to group together several Siena data objects
Function to create a node set
Functions to assess and account for time heterogeneity of parameters
Versions of FRAN
Summary method for Iterative Weighted Least Squares Models
van de Bunt's Freshman dataset, time point 3
van de Bunt's Freshman dataset, time point 4
A function to update the initial values of theta, and a function to up...
Function to create a changing covariate object.
Function to create a changing dyadic covariate object.
Wald and score tests for RSiena results
Access xtable in package xtable
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), <doi:10.1146/annurev-statistics-060116-054035>.