Decision Tree Graph for Cost-Effectiveness Analysis
Source:R/decisiongraph.b.R
decisiongraphClass.RdCreates interactive decision tree visualizations for medical cost-effectiveness analysis
Details
This module provides comprehensive decision tree visualization capabilities including:
Decision nodes (square), chance nodes (circle), and terminal nodes (triangle)
Cost-effectiveness analysis with expected value calculations
Sensitivity analysis with tornado diagrams
Multiple layout options and customizable visualization
Usage
Define decision variables, probabilities, costs, and utilities
Select tree type and layout options
View decision tree graph with calculated expected values
Super classes
jmvcore::Analysis -> ClinicoPath::decisiongraphBase -> decisiongraphClass
Methods
Inherited methods
jmvcore::Analysis$.createImage()jmvcore::Analysis$.createImages()jmvcore::Analysis$.createPlotObject()jmvcore::Analysis$.load()jmvcore::Analysis$.render()jmvcore::Analysis$.save()jmvcore::Analysis$.savePart()jmvcore::Analysis$.setCheckpoint()jmvcore::Analysis$.setParent()jmvcore::Analysis$.setReadDatasetHeaderSource()jmvcore::Analysis$.setReadDatasetSource()jmvcore::Analysis$.setResourcesPathSource()jmvcore::Analysis$.setStatePathSource()jmvcore::Analysis$addAddon()jmvcore::Analysis$asProtoBuf()jmvcore::Analysis$asSource()jmvcore::Analysis$check()jmvcore::Analysis$init()jmvcore::Analysis$optionsChangedHandler()jmvcore::Analysis$postInit()jmvcore::Analysis$print()jmvcore::Analysis$readDataset()jmvcore::Analysis$run()jmvcore::Analysis$serialize()jmvcore::Analysis$setError()jmvcore::Analysis$setStatus()jmvcore::Analysis$translate()ClinicoPath::decisiongraphBase$initialize()