GammaPrior-class: Gamma prior class for the LambdaStar parameter.

In bayesPO: Bayesian Inference for Presence-Only Data

Gamma prior class for the LambdaStar parameter.

Description

This is used to represent the prior for lambdaStar individually. It still needs to be joined with the prior for Beta and Delta to be used in a model.

Usage

## S4 method for signature 'GammaPrior'
names(x)

## S4 method for signature 'GammaPrior'
x$name

## S4 replacement method for signature 'GammaPrior'
x$name <- value

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

## S4 method for signature 'GammaPrior'
print(x, ...)

## S3 method for class 'GammaPrior'
print(x, ...)

Arguments

x	The GammaPrior object.
name	The requested slot.
value	New value.
object	The GammaPrior object.
...	Ignored.

Value

names: A character vector with the prior parameters.

`$` The requested slot's value.

`$<-`: The new object with the updated slot.

show and print: The invisible object.

Fields

shape

The shape parameter of the Gamma distribution.

rate

The rate parameter of the Gamma distribution.

See Also

prior

Examples

GammaPrior(0.0001, 0.0001)

bayesPO documentation built on May 29, 2024, 8:33 a.m.