mbcmodel.hierarchicalresponse

Properties and methods for hierarchical response objects

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    Description

    A hierarchical response is a combination of local and global models to create a two-stage model. Use these properties and object functions to create and examine hierarchical response objects.

    Creation

    Create an mbcmodel.hierarchicalresponse object from a test plan using CreateResponse.

    Properties

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    Model object name, specified as a character vector.

    Data Types: char | string

    This property is read-only.

    Link to MBC model project, specified as an mbcmodel.project object.

    Model created from a local response, specified as an mbcmodel.model object after MakeHierarchicalResponse is called.

    This property is read-only.

    Name of signal or response feature being modeled, specified as a character vector.

    This property is read-only.

    Level of response in test plan, specified as a real positive integer.

    Note

    For hierarchical models, Level is usually specified as 0.

    For local models, Level is usually specified as 1.

    For global models of two-stage models, Level is usually specified as 2.

    This property is read-only.

    Names of signals in data that are being modeled, specified as a string vector.

    This property is read-only.

    Total number of tests used in model, specified as a real positive integer.

    This property is read-only.

    Local responses for a response, specified as an array of mbcmodel.localresponse objects.

    Object Functions

    AlternativeModelStatisticsSummary statistics for alternative models
    CreateAlternativeModelsCreate alternative models from model template
    DoubleInputDataData being used as input to model
    DoubleResponseDataData being used as output to model for fitting
    ExportMake command-line or Simulink export model
    OutlierIndicesIndices of input data for response marked as outliers
    RemoveRemove test plan, model, or boundary model
    pevPredicted error variance of model at specified inputs
    PredictedValuePredicted value of model at specified inputs
    SummaryStatisticsSummary statistics for response

    Version History

    Introduced in R2006a

    See Also

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