Package | Description |
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com.bayesserver.causal |
Class and Description |
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AbductionOptions |
AdjustmentSet
The set of nodes that an estimation procedure must adjust for (condition on) to avoid any bias in the results.
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AdjustmentSetNode
Represents a node in an adjustment set.
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BackdoorCriterionOptions
Options for
BackdoorCriterion . |
BackdoorCriterionOutput
The output from the Backdoor criterion, including any 'adjustment sets' identified.
|
BackdoorGraphOptions
Options for 'Backdoor graph' construction.
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BackdoorMethod
The sets for the Backdoor criterion to find.
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CausalInferenceBase
Base class for Causal inference engines used by internal algorithms.
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CausalNode
Represents a reference to any node in a Causal model, for example a treatment (X), an outcome (Y), an unobserved node (U).
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CausalQueryOptionsBase
Base class for causal query options.
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CausalQueryOutput
Additional outputs specific to causal queries.
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CausalQueryOutputBase
Base class for causal algorithm output.
|
DisjunctiveCauseSet
Identifies sets of nodes used by the Disjunctive Cause Criterion algorithm.
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DisjunctiveCauseSetNode
Represents a node in a set used by the Disjunctive Cause Criterion algorithm.
|
EffectsAnalysisOptions
Options for an effects analysis.
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EffectsAnalysisOutput
The results of an effects analysis.
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EffectsAnalysisOutputItem
The result of an effects analysis for a particular treatment value.
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FrontDoorSet
Front-door nodes used by the front-door adjustment.
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FrontDoorSetNode
Represents a front-door node used by the front-door adjustment, and can be identified by the front-door criterion.
|
Identification
Determines how to quantify a cause-effect relationship (for a particular criterion), but does not perform the actual estimation.
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IdentificationOptions
Options for classes that implement
Identification |
IdentificationOutput
Output for classes that implement
Identification |
IndirectGraphOptions
Options for 'Indirect graph' construction.
|
NodeSet
A set of nodes.
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NodeSetItem
Represents a node in a set.
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Validation
Methods to test whether adjustment inputs are valid.
|
ValidationOptions
Options for classes that implement
Validation |
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