RSiena
type: Item
swMATH work ID: 7980
instance of: R package
software version identifier: 1.3.14.1
software version identifier: 1.0.0
software version identifier: 1.0.5
software version identifier: 1.0.8
software version identifier: 1.0.9
software version identifier: 1.0.10
software version identifier: 1.0.11.110
software version identifier: 1.0.11.119
software version identifier: 1.0.11.125
software version identifier: 1.0.12.141
software version identifier: 1.0.12.146
software version identifier: 1.0.12.167
software version identifier: 1.0.12.198
software version identifier: 1.0.12.201
software version identifier: 1.1-212
software version identifier: 1.1-232
software version identifier: 1.2-3
software version identifier: 1.2-12
software version identifier: 1.2-23
software version identifier: 1.3.0.1
software version identifier: 1.3.0
software version identifier: 1.3.13
software version identifier: 1.3.14.2
software version identifier: 1.3.14.3
software version identifier: 1.3.14.4
software version identifier: 1.3.14
software version identifier: 1.4.1
software version identifier: 1.4.7
CRAN project: RSiena
programmed in: R
last update: 2024-02-21T00:00:00Z
author: Ruth M. Ripley
author: Krists Boitmanis
author: Christian Steglich
author: Nynke M.d. Niezink
author: Viviana Amati
author: Felix Schoenenberger
author: Tom A. B. Snijders
copyright license: GNU General Public License, version 2.0
copyright license: GNU General Public License, version 3.0
copyright license: File License
imports: Matrix
imports: lattice
imports: parallel
imports: MASS
imports: methods
imports: xtable
cites work: Stochastic Actor-Oriented Models for Network Dynamics
maintained by: Tom A. B. Snijders
depends on software: R
MaRDI profile type: Software
source code repository: RSiena
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), <doi:10.1146/annurev-statistics-060116-054035>.
description: Siena - Simulation Investigation for Empirical Network Analysis