Pairwise Causal Link
Menu path: Hellixia > Pairwise Causal Link
What it does
Evaluates a potential causal link between a pair of variables and proposes a reviewable direction and mechanism.
Treat Hellixia output as a structured starting point for analyst review, expert refinement, learning, inference, or communication. Generated causal directions and quantification should be checked before they are used operationally.
When to use it
- Two-variable causal checks
- arc-level review
- focused causal elicitation
Inputs
- Two selected variables
- optional General Context
Outputs
- Proposed causal direction
- mechanism explanation
- optional arc comment
Step-by-Step Workflow
- Prepare the network, source material, selected nodes, selected arcs, or Knowledge Files required by the function.
- Confirm that Hellixia provider settings and model access are configured.
- Open
Hellixia > Pairwise Causal Link. - Review the available options and add General Context when the model needs domain-specific guidance.
- Run the function and inspect the generated graph, comments, priors, embeddings, translations, or images.
- Edit the output in BayesiaLab before using it for analysis, publication, or decision support.
Review Guidance
Check whether the generated labels, relationships, comments, classes, probabilities, or causal effects match the source material and expert understanding. For causal outputs, verify that the proposed direction and mechanism are plausible and that no important confounder or alternative explanation has been hidden by the generated structure.