hidden_aliases: For S4 methods that require a documentation entry but only...

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

For S4 methods that require a documentation entry but only clutter the index.

Description

For S4 methods that require a documentation entry but only clutter the index.

Usage

## S4 method for signature 'BernsteinFunction'
calcExShockArrivalIntensities(object, d, cscale = 1, ...)

## S4 method for signature 'BernsteinFunction'
calcExShockSizeArrivalIntensities(object, d, cscale = 1, ...)

## S4 method for signature 'BernsteinFunction'
calcShockArrivalIntensities(object, d, cscale = 1, ...)

## S4 method for signature 'BernsteinFunction'
calcMDCMGeneratorMatrix(object, d, cscale = 1, ...)

## S4 method for signature 'LevyBernsteinFunction'
getDefaultMethodString(object)

## S4 method for signature 'LevyBernsteinFunction'
calcIterativeDifference(
  object,
  x,
  difference_order,
  n = 1L,
  k = 0L,
  cscale = 1,
  ...,
  method = c("default", "levy"),
  tolerance = .Machine$double.eps^0.5
)

## S4 method for signature 'LevyBernsteinFunction'
calcValue(object, x, cscale = 1, method = getDefaultMethodString(object), ...)

## S4 method for signature 'CompleteBernsteinFunction'
calcIterativeDifference(
  object,
  x,
  difference_order,
  n = 1L,
  k = 0L,
  cscale = 1,
  ...,
  method = c("default", "stieltjes", "levy"),
  tolerance = .Machine$double.eps^0.5
)

## S4 method for signature 'AlphaStableBernsteinFunction'
initialize(.Object, alpha)

## S4 method for signature 'AlphaStableBernsteinFunction'
show(object)

## S4 method for signature 'AlphaStableBernsteinFunction'
getLevyDensity(object)

## S4 method for signature 'AlphaStableBernsteinFunction'
getStieltjesDensity(object)

## S4 method for signature 'AlphaStableBernsteinFunction'
calcValue(object, x, cscale = 1, ...)

## S4 method for signature 'CompositeScaledBernsteinFunction'
initialize(.Object, cscale, original)

## S4 method for signature 'CompositeScaledBernsteinFunction'
show(object)

## S4 method for signature 'CompositeScaledBernsteinFunction'
calcValue(object, x, cscale = 1, ...)

## S4 method for signature 'CompositeScaledBernsteinFunction'
calcIterativeDifference(
  object,
  x,
  difference_order = 0L,
  n = 1,
  k = 0,
  cscale = 1,
  ...
)

## S4 method for signature 'ConstantBernsteinFunction'
initialize(.Object, constant)

## S4 method for signature 'ConstantBernsteinFunction'
show(object)

## S4 method for signature 'ConstantBernsteinFunction'
calcValue(object, x, cscale = 1, ...)

## S4 method for signature 'ConstantBernsteinFunction'
calcIterativeDifference(
  object,
  x,
  difference_order = 0L,
  n = 1L,
  k = 0L,
  cscale = 1,
  ...
)

## S4 method for signature 'ConvexCombinationOfBernsteinFunctions'
initialize(.Object, coefficients, points)

## S4 method for signature 'ConvexCombinationOfBernsteinFunctions'
show(object)

## S4 method for signature 'ConvexCombinationOfBernsteinFunctions'
calcValue(object, x, cscale = 1, ...)

## S4 method for signature 'ConvexCombinationOfBernsteinFunctions'
calcIterativeDifference(
  object,
  x,
  difference_order = 0L,
  n = 1L,
  k = 0L,
  cscale = 1,
  ...
)

## S4 method for signature 'ExponentialBernsteinFunction'
initialize(.Object, lambda)

## S4 method for signature 'ExponentialBernsteinFunction'
show(object)

## S4 method for signature 'ExponentialBernsteinFunction'
getLevyDensity(object)

## S4 method for signature 'ExponentialBernsteinFunction'
getStieltjesDensity(object)

## S4 method for signature 'ExponentialBernsteinFunction'
getDefaultMethodString(object)

## S4 method for signature 'ExponentialBernsteinFunction'
calcValue(object, x, cscale = 1, ...)

## S4 method for signature 'GammaBernsteinFunction'
initialize(.Object, a)

## S4 method for signature 'GammaBernsteinFunction'
show(object)

## S4 method for signature 'GammaBernsteinFunction'
getLevyDensity(object)

## S4 method for signature 'GammaBernsteinFunction'
getStieltjesDensity(object)

## S4 method for signature 'GammaBernsteinFunction'
calcValue(object, x, cscale = 1, ...)

## S4 method for signature 'InverseGaussianBernsteinFunction'
initialize(.Object, eta)

## S4 method for signature 'InverseGaussianBernsteinFunction'
show(object)

## S4 method for signature 'InverseGaussianBernsteinFunction'
getLevyDensity(object)

## S4 method for signature 'InverseGaussianBernsteinFunction'
getStieltjesDensity(object)

## S4 method for signature 'InverseGaussianBernsteinFunction'
calcValue(object, x, cscale = 1, ...)

## S4 method for signature 'LinearBernsteinFunction'
initialize(.Object, scale)

## S4 method for signature 'LinearBernsteinFunction'
show(object)

## S4 method for signature 'LinearBernsteinFunction'
calcValue(object, x, cscale = 1, ...)

## S4 method for signature 'LinearBernsteinFunction'
calcIterativeDifference(
  object,
  x,
  difference_order = 0L,
  n = 1L,
  k = 0L,
  cscale = 1,
  ...
)

## S4 method for signature 'ParetoBernsteinFunction'
initialize(.Object, alpha, x0)

## S4 method for signature 'ParetoBernsteinFunction'
show(object)

## S4 method for signature 'ParetoBernsteinFunction'
getLevyDensity(object)

## S4 method for signature 'ParetoBernsteinFunction'
calcValue(object, x, cscale = 1, ...)

## S4 method for signature 'PoissonBernsteinFunction'
initialize(.Object, eta)

## S4 method for signature 'PoissonBernsteinFunction'
show(object)

## S4 method for signature 'PoissonBernsteinFunction'
getLevyDensity(object)

## S4 method for signature 'PoissonBernsteinFunction'
calcValue(object, x, cscale = 1, ...)

## S4 method for signature 'ScaledBernsteinFunction'
initialize(.Object, scale, original)

## S4 method for signature 'ScaledBernsteinFunction'
show(object)

## S4 method for signature 'ScaledBernsteinFunction'
calcValue(object, x, cscale = 1, ...)

## S4 method for signature 'ScaledBernsteinFunction'
calcIterativeDifference(
  object,
  x,
  difference_order = 0L,
  n = 1L,
  k = 0L,
  cscale = 1,
  ...
)

## S4 method for signature 'SumOfBernsteinFunctions'
initialize(.Object, first, second)

## S4 method for signature 'SumOfBernsteinFunctions'
show(object)

## S4 method for signature 'SumOfBernsteinFunctions'
calcValue(object, x, cscale = 1, ...)

## S4 method for signature 'SumOfBernsteinFunctions'
calcIterativeDifference(
  object,
  x,
  difference_order = 0L,
  n = 1L,
  k = 0L,
  cscale = 1,
  ...
)

Arguments

object	An object deriving from the class BernsteinFunction.
d	A positive integer, larger than two, for the dimension.
cscale	Positive number.
...	pass-through parameter.
x	A nonnegative numeric vector at which the iterated difference of the Bernstein function is evaluated.
difference_order	A nonnegative integer with the order of the alternating iterated forward differences taken on the Bernstein function.
n, k	Nonnegative numbers for the binomial factor.
method	Method to calculate the result; use method = "levy" for using the Lévy representation and method = "stieltjes" for using the Stieltjes representation.
tolerance	(Relative) tolerance, passed down to stats::integrate().
.Object	An object: see the “Initialize Methods” section.
alpha	Positive number between zero and one (bounds excl.).
original	Derives from BernsteinFunction.
constant	Nonnegative number.
coefficients	Derives from ConvexCombinationOfBernsteinFunctions.
points	Derives from ConvexCombinationOfBernsteinFunctions.
lambda	Positive number.
a	Positive number.
eta	Positive number.
scale	Positive number.
x0	Positive number.
first	Derives from BernsteinFunction.
second	Derives from BernsteinFunction.

hsloot/rmo documentation built on May 1, 2024, 4:28 a.m.