Uses of Interface com.bayesserver.causal.ValidationOptions (bayesserver 11.0 API)

Packages that use ValidationOptions
Package Description

com.bayesserver.causal

Uses of ValidationOptions in com.bayesserver.causal

Classes in com.bayesserver.causal that implement ValidationOptions
Modifier and Type	Class	Description
`class`	`BackdoorValidationOptions`	Options for Backdoor Criterion validation, which can be used to test whether adjustment sets are valid.
`class`	`DisjunctiveCauseValidationOptions`	Options for Disjunctive-cause criterion validation.
`class`	`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..

Methods in com.bayesserver.causal with parameters of type ValidationOptions
Modifier and Type	Method	Description
`boolean`	BackdoorCriterion.`isValid(Evidence evidence, Distribution query, ValidationOptions options)`	Tests whether adjustment inputs are valid, without raising an exception.
`boolean`	BackdoorCriterion.`isValid(List<CausalNode> treatments, List<CausalNode> outcomes, List<CausalNode> nonTreatmentEvidence, ValidationOptions options)`	Tests whether adjustment inputs are valid, without raising an exception.
`boolean`	DisjunctiveCauseCriterion.`isValid(Evidence evidence, Distribution query, ValidationOptions options)`	Tests whether adjustment inputs are valid, without raising an exception.
`boolean`	DisjunctiveCauseCriterion.`isValid(List<CausalNode> treatments, List<CausalNode> outcomes, List<CausalNode> adjusted, ValidationOptions options)`	Tests whether adjustment inputs are valid, without raising an exception.
`boolean`	FrontDoorCriterion.`isValid(Evidence evidence, Distribution query, ValidationOptions options)`	Tests whether adjustment inputs are valid, without raising an exception.
`boolean`	FrontDoorCriterion.`isValid(List<CausalNode> treatments, List<CausalNode> outcomes, List<CausalNode> nonTreatmentEvidence, ValidationOptions options)`	Tests whether adjustment inputs are valid, without raising an exception.
`boolean`	Validation.`isValid(Evidence evidence, Distribution query, ValidationOptions options)`	Tests whether adjustment inputs are valid, without raising an exception.
`boolean`	Validation.`isValid(List<CausalNode> treatments, List<CausalNode> outcomes, List<CausalNode> nonTreatmentEvidence, ValidationOptions options)`	Tests whether adjustment inputs are valid, without raising an exception.
`void`	BackdoorCriterion.`validate(Evidence evidence, Distribution query, ValidationOptions options)`	Tests whether adjustment inputs are valid, and throws an exception if not, with an error message.
`void`	BackdoorCriterion.`validate(List<CausalNode> treatments, List<CausalNode> outcomes, List<CausalNode> nonTreatmentEvidence, ValidationOptions options)`	Tests whether adjustment inputs are valid, and throws an exception if not, with an error message.
`void`	DisjunctiveCauseCriterion.`validate(Evidence evidence, Distribution query, ValidationOptions options)`	Tests whether adjustment inputs are valid, and throws an exception if not, with an error message.
`void`	DisjunctiveCauseCriterion.`validate(List<CausalNode> treatments, List<CausalNode> outcomes, List<CausalNode> nonTreatmentEvidence, ValidationOptions options)`	Tests whether adjustment inputs are valid, and throws an exception if not, with an error message.
`void`	FrontDoorCriterion.`validate(Evidence evidence, Distribution query, ValidationOptions options)`	Tests whether adjustment inputs are valid, and throws an exception if not, with an error message.
`void`	FrontDoorCriterion.`validate(List<CausalNode> treatments, List<CausalNode> outcomes, List<CausalNode> nonTreatmentEvidence, ValidationOptions options)`	Tests whether adjustment inputs are valid, and throws an exception if not, with an error message.
`void`	Validation.`validate(Evidence evidence, Distribution query, ValidationOptions options)`	Tests whether adjustment inputs are valid, and throws an exception if not, with an error message.
`void`	Validation.`validate(List<CausalNode> treatments, List<CausalNode> outcomes, List<CausalNode> nonTreatmentEvidence, ValidationOptions options)`	Tests whether adjustment inputs are valid, and throws an exception if not, with an error message.