RSiena: 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 <doi:10.1146/annurev-statistics-060116-054035>.
An extensive manual, scripts, and much further information is at the Siena
website <http://www.stats.ox.ac.uk/~snijders/siena>.
| Version: |
1.2-23 |
| Depends: |
R (≥ 2.15.0) |
| Imports: |
Matrix, tcltk, lattice, parallel, MASS, methods |
| Suggests: |
xtable, network, tools, codetools |
| Published: |
2020-01-12 |
| Author: |
Ruth Ripley, Krists Boitmanis, Tom A.B. Snijders, Felix Schoenenberger,
Nynke Niezink |
| Maintainer: |
Tom A.B. Snijders <tom.snijders at nuffield.ox.ac.uk> |
| License: |
GPL (≥ 3) |
| URL: |
http://www.stats.ox.ac.uk/~snijders/siena |
| NeedsCompilation: |
yes |
| SystemRequirements: |
GNU make, tcl/tk 8.5, Tktable |
| Citation: |
RSiena citation info |
| Materials: |
ChangeLog |
| In views: |
SocialSciences |
| CRAN checks: |
RSiena results |
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