Class

scalaglm

PredictLm

Related Doc: package scalaglm

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case class PredictLm(mod: Lm, newX: DenseMatrix[Double]) extends Predict with Product with Serializable

Prediction from a fitted linear (Lm) model

mod

fitted linear model

newX

covariate matrix for predictions

returns

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

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

  1. new PredictLm(mod: Lm, newX: DenseMatrix[Double])

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    mod

    fitted linear model

    newX

    covariate matrix for predictions

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

    fitted values

    Definition Classes
    PredictLm → 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 mod: Lm

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    fitted linear model

  12. val nX: DenseMatrix[Double]

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    New covariate matrix (including intercept, if required)

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

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    Definition Classes
    AnyRef

  14. val newX: DenseMatrix[Double]

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    covariate matrix for predictions

  15. final def notify(): Unit

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    Definition Classes
    AnyRef

  16. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  17. lazy val se: DenseVector[Double]

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    standard errors for the predictions

    standard errors for the predictions

    Definition Classes
    PredictLm → Predict

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

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    Definition Classes
    AnyRef

  19. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  22. lazy val xrti: DenseMatrix[Double]

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    for internal use (probably should be marked private)

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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