Network Structural Equation Modeling
Overview
Several methods have been developed to integrate structural equation modeling techniques with network data analysis to examine the relationship between network and non-network data. Both node-based and edge-based information can be extracted from the network data to be used as observed variables in structural equation modeling. To facilitate the application of these methods, model specification can be performed in the familiar syntax of the 'lavaan' package, ensuring ease of use for researchers. Technical details and examples can be found at https://bigsem.psychstat.org.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 10
- Examples that run
- 60%3 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 80%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Installing networksem adds 82 packages (46 with compiled code, 62 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, igraph 4.8 MB. 1 more not on CRAN is not measured.
Code & Tests
Datasets
People & History
Package metadata
- First published
- 2025-01-31
- Total releases
- 3 / 1 yrs
- License
- GPL
- Minimum R
- ≥ 3.5
- Bundled data
- 5.1 KB / 1 file
- Download size
- 17 KB
Cite
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