Gamma distribution class

This class defines the gamma distribution. It provides methods for fitting the distribution to data and generating random samples.

Super class

midi::BaseDistribution -> GammaDistribution

Methods

Public methods

• GammaDistribution$new()

• GammaDistribution$get_shape()

• GammaDistribution$get_scale()

• GammaDistribution$clone()

Inherited methods

• midi::BaseDistribution$fit()
• midi::BaseDistribution$get_mean()
• midi::BaseDistribution$get_variance()
• midi::BaseDistribution$random()

---

Method new()

Creates a new gamma distribution.

Usage

GammaDistribution$new(shape = 1, scale = 1)

Arguments

shape

A numeric value specifying the shape parameter of the gamma distribution. Defaults to 1.0.

scale

A numeric value specifying the scale parameter of the gamma distribution. Defaults to 1.0.

Returns

An instance of the gamma distribution as an object of class GammaDistribution.

---

Method get_shape()

Retrieves the shape parameter of the gamma distribution.

Usage

GammaDistribution$get_shape()

Returns

A numeric value storing the shape parameter of the gamma distribution.

---

Method get_scale()

Retrieves the scale parameter of the gamma distribution.

Usage

GammaDistribution$get_scale()

Returns

A numeric value storing the scale parameter of the gamma distribution.

---

Method clone()

The objects of this class are cloneable with this method.

Usage

GammaDistribution$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

gd <- GammaDistribution$new(
  shape = 1,
  scale = 5
)
gd$get_shape()
#> [1] 1
gd$get_scale()
#> [1] 5
gd$get_mean()
#> [1] 5
gd$get_variance()
#> [1] 25
gd$random(10)
#>  [1] 17.8360190  5.8395093  0.2872731  1.7020353 17.3578046  5.2183103
#>  [7] 15.1313753  1.8378476  0.4985022  3.9478935
gd$fit(gd$random(100))
gd$get_shape()
#> [1] 1.001781
gd$get_scale()
#> [1] 5.560486