ScaledBernsteinFunction-class: Class for scaled Bernstein functions

In hsloot/rmo: A package for the Marshall-Olkin distribution

Class for scaled Bernstein functions

Description

Bernstein functions are stable under (nonnegative) scalar multiplication, i.e. if \psi is a Bernstein function and \lambda \geq 0 , then

x \mapsto \lambda \psi(x), x > 0,

is also a Bernstein function.

Slots

scale

The scalar factor with which the original Bernstein function is to be multiplied.

original

The original Bernstein function which is to be multiplied.

See Also

valueOf(), intensities(), uexIntensities(), exIntensities(), exQMatrix(), rextmo(), rpextmo()

Other Bernstein function classes: AlphaStableBernsteinFunction-class, BernsteinFunction-class, CompleteBernsteinFunction-class, CompositeScaledBernsteinFunction-class, ConstantBernsteinFunction-class, ConvexCombinationOfBernsteinFunctions-class, ExponentialBernsteinFunction-class, GammaBernsteinFunction-class, InverseGaussianBernsteinFunction-class, LevyBernsteinFunction-class, LinearBernsteinFunction-class, ParetoBernsteinFunction-class, PoissonBernsteinFunction-class, SumOfBernsteinFunctions-class

Other Bernstein function transformer classes: CompositeScaledBernsteinFunction-class, ConvexCombinationOfBernsteinFunctions-class, SumOfBernsteinFunctions-class

Examples

# Create an object of class ScaleBernsteinFunction
ScaledBernsteinFunction()
ScaledBernsteinFunction(
  scale = 2,
  original = AlphaStableBernsteinFunction(alpha = 0.5)
)

hsloot/rmo documentation built on April 25, 2024, 10:41 p.m.