Articles
Concepts
The ideas that make drmSEM a distributional SEM.
- Effect decomposition
- Covariance edges, composites, and path attribution
- Bivariate nodes: two responses, one correlation (drm_pair)
- Feedback cycles: reciprocal causation and the equilibrium effect (drm_cycle)
- Latent constructs: composites and reliability
- Equations via symbolizer
- Model selection with CBIC
- drmSEM and other SEM tools
- Phylogenetic distributional SEM
- Calibrating the d-separation test
- Effect-interval coverage and model-selection recovery