RSiena: Simulation-Based Models for Longitudinal Network Data

RSiena provides functions for simulation-based estimation of stochastic actor-oriented models. The package handles longitudinal network data, which can be single or multivariate, directed, non-directed, or two-mode, and includes associated actor variables. It was authored by Tom A. B. Snijders, with methodology detailed in a 2017 review.

Use Cases

• Estimate parameters for stochastic actor-oriented models based on longitudinal network data.
• Test model parameters and check goodness-of-fit for network evolution.
• Analyze multivariate or two-mode network dynamics based on the described model capabilities.

Strengths

• Supports multiple network types: directed, non-directed, and two-mode networks.
• Includes functions for parameter testing and goodness-of-fit checks.
• Methodology is grounded in a peer-reviewed 2017 overview by Snijders.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset size are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Tom A. B. Snijders

Collection Method

Likely developed as a statistical software package for research.

Time Range

Methodology overview published in 2017.

Freshness

Last updated date is unknown.

Geography

Spatial coverage is not specified.