Packages

c

scalaglm

PredictLm

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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Visibility
  1. Public
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Instance Constructors

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

    mod

    fitted linear model

    newX

    covariate matrix for predictions

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  6. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  7. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  8. val fitted: DenseVector[Double]

    fitted values

    fitted values

    Definition Classes
    PredictLm → Predict
  9. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  10. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  11. val mod: Lm
  12. val nX: DenseMatrix[Double]

    New covariate matrix (including intercept, if required)

  13. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  14. val newX: DenseMatrix[Double]
  15. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  16. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  17. lazy val se: DenseVector[Double]

    standard errors for the predictions

    standard errors for the predictions

    Definition Classes
    PredictLm → Predict
  18. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  19. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  20. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  21. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  22. lazy val xrti: DenseMatrix[Double]

    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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