Exponential: Exponential

In ROOPSD: R Object Oriented Programming for Statistical Distribution

Exponential

Description

Exponential distribution in OOP way. Based on AbstractDist

Details

See AbstractDist for generic methods

Super class

ROOPSD::AbstractDist -> Exponential

Active bindings

rate

[double] rate of the exponential law

params

[vector] params of the exponential law

Methods

Public methods

• Exponential$new()

• Exponential$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 Exponential object.

Usage

Exponential$new(rate = 1)

Arguments

rate

[double] Rate of the exponential law

Returns

A new 'Exponential' object.

---

Method clone()

The objects of this class are cloneable with this method.

Usage

Exponential$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

## Generate sample
rate = 0.5
expl = ROOPSD::Exponential$new( rate = rate )
X    = expl$rvs( n = 1000 )

## And fit parameters
expl$fit(X)

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