KumaraswamyDistribution: Get a kumaraswamy distribution wrapper

In terminological/classifier-result:

Description

Get a kumaraswamy distribution wrapper

Get a kumaraswamy distribution wrapper

Details

This is a Kumaraswamy distrbution with support from x=0..1

Super class

ClassifierResult::Distribution -> KumaraswamyDistribution

Public fields

mode

the mode of the kumaraswamy

iqr

the iqr of the normal distribuition

Methods

Public methods

• KumaraswamyDistribution$new()

• KumaraswamyDistribution$label()

• KumaraswamyDistribution$clone()

Inherited methods

• ClassifierResult::Distribution$bigP()

• ClassifierResult::Distribution$getInverseCdf()

• ClassifierResult::Distribution$getPdf()

• ClassifierResult::Distribution$inverse()

• ClassifierResult::Distribution$p()

• ClassifierResult::Distribution$plot()

• ClassifierResult::Distribution$q()

• ClassifierResult::Distribution$sample()

• ClassifierResult::Distribution$theoreticalEntropy()

• ClassifierResult::Distribution$twoDp()

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Method new()

Kumaraswamy distribution

Usage

KumaraswamyDistribution$new(mode = runif(1, 0.1, 0.9), iqr = runif(0.1, 0.3))

Arguments

mode

the mode of the distribution

iqr

the iqr of the target (must be strictly less than 0.5)

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Method label()

get a label for this distribution

Usage

KumaraswamyDistribution$label()

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Method clone()

The objects of this class are cloneable with this method.

Usage

KumaraswamyDistribution$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

terminological/classifier-result documentation built on March 14, 2020, 8:04 a.m.