Class

scalaglm

PredictGlm

Related Doc: package scalaglm

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case class PredictGlm(mod: Glm, newX: DenseMatrix[Double], response: Boolean) extends Predict with Product with Serializable

Prediction from a fitted linear (Glm) model

mod

fitted generalised linear model

newX

covariate matrix for predictions

response

predictions on the response scale?

returns

An object of type PredictGlm with several useful attributes, including .fitted and .se

Linear Supertypes
Serializable, Serializable, Product, Equals, Predict, AnyRef, Any
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  1. PredictGlm
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. Predict
  7. AnyRef
  8. Any
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Instance Constructors

  1. new PredictGlm(mod: Glm, newX: DenseMatrix[Double], response: Boolean)

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    mod

    fitted generalised linear model

    newX

    covariate matrix for predictions

    response

    predictions on the response scale?

Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

  3. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  6. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  7. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  8. val fitted: DenseVector[Double]

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    fitted values on the desired scale

    fitted values on the desired scale

    Definition Classes
    PredictGlm → Predict

  9. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any

  10. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  11. val lp: DenseVector[Double]

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    fitted values on the linear predictor scale

  12. val mod: Glm

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    fitted generalised linear model

  13. val nX: DenseMatrix[Double]

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    fitted values

  14. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  15. val newX: DenseMatrix[Double]

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    covariate matrix for predictions

  16. final def notify(): Unit

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    Definition Classes
    AnyRef

  17. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  18. val response: Boolean

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    predictions on the response scale?

  19. lazy val rtix: DenseMatrix[Double]

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    for internal use (probably should be marked private)

  20. lazy val se: DenseVector[Double]

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    standard errors for the predictions on the desired scale

    standard errors for the predictions on the desired scale

    Definition Classes
    PredictGlm → Predict

  21. lazy val selp: DenseVector[Double]

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    standard errors on the linear predictor scale

  22. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef

  23. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  24. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
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    Annotations
    @throws( ... )

  25. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Predict

Inherited from AnyRef

Inherited from Any

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