Packages

c

scalaglm

PredictGlm

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, Product, Equals, Predict, AnyRef, Any
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Inherited
  1. PredictGlm
  2. Serializable
  3. Product
  4. Equals
  5. Predict
  6. AnyRef
  7. Any
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Visibility
  1. Public
  2. Protected

Instance Constructors

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

    mod

    fitted generalised linear model

    newX

    covariate matrix for predictions

    response

    predictions on the response scale?

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(classOf[java.lang.CloneNotSupportedException]) @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 on the desired scale

    fitted values on the desired scale

    Definition Classes
    PredictGlmPredict
  9. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  10. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  11. val lp: DenseVector[Double]

    fitted values on the linear predictor scale

  12. val mod: Glm
  13. val nX: DenseMatrix[Double]

    fitted values

  14. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  15. val newX: DenseMatrix[Double]
  16. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  17. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  18. def productElementNames: Iterator[String]
    Definition Classes
    Product
  19. val response: Boolean
  20. lazy val rtix: DenseMatrix[Double]

    for internal use (probably should be marked private)

  21. lazy val se: DenseVector[Double]

    standard errors for the predictions on the desired scale

  22. lazy val selp: DenseVector[Double]

    standard errors on the linear predictor scale

  23. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  24. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  25. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  26. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Predict

Inherited from AnyRef

Inherited from Any

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