Gamma: Gamma

In ROOPSD: R Object Oriented Programming for Statistical Distribution

Gamma

Description

Gamma distribution in OOP way. Based on AbstractDist

Details

See AbstractDist for generic methods

Super class

ROOPSD::AbstractDist -> Gamma

Active bindings

shape

[double] shape of the gamma law

scale

[double] scale of the gamma law

params

[vector] params of the gamma law

Methods

Public methods

• Gamma$new()

• Gamma$clone()

Inherited methods

• ROOPSD::AbstractDist$cdf()
• ROOPSD::AbstractDist$density()
• ROOPSD::AbstractDist$diagnostic()
• ROOPSD::AbstractDist$fit()
• ROOPSD::AbstractDist$icdf()
• ROOPSD::AbstractDist$isf()
• ROOPSD::AbstractDist$logdensity()
• ROOPSD::AbstractDist$pdeltaCI()
• ROOPSD::AbstractDist$qdeltaCI()
• ROOPSD::AbstractDist$qgradient()
• ROOPSD::AbstractDist$rvs()
• ROOPSD::AbstractDist$sf()

---

Method new()

Create a new Gamma object.

Usage

Gamma$new(shape = 0.5, scale = 1)

Arguments

shape

[double] shape parameter

scale

[double] scale parameter

Returns

A new 'Gamma' object.

---

Method clone()

The objects of this class are cloneable with this method.

Usage

Gamma$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

## Generate sample
scale = 1.5
shape = 0.5
gaml = ROOPSD::Gamma$new( scale = scale , shape = shape )
X    = gaml$rvs( n = 1000 )

## And fit parameters
gaml$fit(X)

ROOPSD documentation built on Sept. 11, 2023, 9:06 a.m.