Test Robustness with Directed Acyclic Graphs

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Documentation for package ‘DAGassist’ version 0.3.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

add_edges_robustness	Diagnose robustness to added ("missing") edges
bad_controls_in	flag bad controls (mediator/collider/desc of Y) among a candidate set
balance_models	Balance diagnostics across a list of fitted models
classify_nodes	Classify DAG nodes
DAGassist	Generate and/or export report that classifies nodes, compares models, and (optionally) target causal estimands.
pdag_robustness	Diagnose adjustment-set and role robustness to uncertain edge directions
print.DAGassist_addedge_summary	Print an edge-addition (exclusion) robustness summary
print.DAGassist_pdag_summary	Print a PDAG robustness summary
print.DAGassist_report	Print method for DAGassist reports
print.DAGassist_roles	Print node classifications (aligned)
print.DAGassist_validation	Minimal, clean printout for validation results with color coding