RSiena (1.2-23)

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 . An extensive manual, scripts, and much further information is at the Siena website .

Maintainer: Tom A.B. Snijders
Author(s): Ruth Ripley, Krists Boitmanis, Tom A.B. Snijders, Felix Schoenenberger, Nynke Niezink

License: GPL (>= 3)

Uses: lattice, MASS, Matrix, codetools, network, xtable
Reverse suggests: btergm, netdiffuseR, tnet, xergm
Reverse enhances: texreg

Released about 1 month ago.