Namespace BayesServer.Causal.Identification

Classes

AdjustmentSet

The set of nodes that an estimation procedure must adjust for (condition on) to avoid any bias in the results.

AdjustmentSetNode

Represents a node in an adjustment set.

BackdoorCriterion

Uses the 'Backdoor Criterion' to identify 'adjustment sets', that if found can be used to estimate the causal effect using the BackdoorInference. The version of the 'Backdoor Criterion' used is complete, and sometimes referred to as just the 'adjustment criterion'.

BackdoorCriterionOptions

Options for BackdoorCriterion.

BackdoorCriterionOutput

The output from the Backdoor criterion, including any 'adjustment sets' identified.

BackdoorValidationOptions

Options for Backdoor Criterion validation, which can be used to test whether adjustment sets are valid.

DisjunctiveCauseCriterion

Validates inputs for the Disjunctive cause adjustment. Given that this criterion does not require a causal model, but merely an adjustment set that includes all causes of treatments or outcomes or both, this class can only perform basic validation. It is up to the caller to ensure all causes of treatments or outcomes or both have been correctly identified.

DisjunctiveCauseCriterionOptions

Options for Disjunctive-cause Criterion validation.

DisjunctiveCauseCriterionOutput

The output from the Disjunctive-cause criterion, which is simply an adjustment set which includes all causes of treatments (X) or causes of outcomes (Y) or causes of both.

DisjunctiveCauseSet

Identifies sets of nodes used by the Disjunctive Cause Criterion algorithm.

DisjunctiveCauseSetNode

Represents a node in a set used by the Disjunctive Cause Criterion algorithm.

DisjunctiveCauseValidationOptions

Options for Disjunctive-cause criterion validation.

FrontDoorCriterion

Uses the 'Front-door Criterion' to identify any sets of valid front-door nodes, that if found can be used to estimate the causal effect using the FrontDoorInference.

FrontDoorCriterionOptions

Options for FrontDoorCriterion.

FrontDoorCriterionOutput

The output from the Front-door criterion, including any sets of 'front-door nodes' identified.

FrontDoorSet

Front-door nodes used by the front-door adjustment. They can be identified using the front-door criterion.

FrontDoorSetNode

Represents a front-door node used by the front-door adjustment, and can be identified by the front-door criterion.

FrontDoorValidationOptions

Options for Front-door Criterion validation, which can be used to test whether the front-door nodes are valid and the pair of associated 'adjustment sets' are also valid..

ValidationException

Raised by an identification algorithm when validation fails.

Interfaces

IIdentification

Determines how to quantify a cause-effect relationship (for a particular criterion), but does not perform the actual estimation.

IIdentificationOptions

Options for classes that implement IIdentification

IIdentificationOutput

Output for classes that implement IIdentification

INodeSet

A set of nodes.

INodeSetItem

Represents a node in a set.

IValidation

Methods to test whether adjustment inputs are valid. For example, to test whether an adjustment set is valid for a Backdoor adjustment.

IValidationOptions

Options for classes that implement IValidation

Enums

BackdoorMethod

The sets for the Backdoor criterion to find.