bayesPO_model-class {bayesPO}

Class that defines a model for the bayesPO package.

Description

The model includes the presence-only data, all selected variables, the link functions for q and p, the initial values and the prior distribution.

Usage

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

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

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

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

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

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

Arguments

x

The bayesPO_model object.

name

The requested slot.

value

New value.

object

The bayesPO_model object.

...

Currently unused.

Value

names: A character vector with possible options for the `$` and `$<-` methods.

`$`: The requested slot's value.

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

show and print: The invisible object.

Fields

po

The matrix containing the covariates values for the data.

intensityLink

A string informing about the chosen link for the intensity covariates. Current acceptable choice is only "logit".

intensitySelection

A vector containing the indexes of the selected intensity columns in the po matrix.

observabilityLink

A string informing about the chosen link for the observability covariates. Current acceptable choice is only "logit".

observabilitySelection

A vector containing the indexes of the selected observability columns in the po matrix.

init

A list with objects of class bayesPO_initial indicating the initial values for each chain. The length of this list tells the program how many chains are requested to be run.

prior

An object of class bayesPO_prior which indicates the joint prior distribution for the model parameters.

iSelectedColumns

If the intensity covariates selection was made with the name of the columns, they are stored in this slot.

oSelectedColumns

If the observability covariates selection was made with the name of the columns, they are stored in this slot.

See Also

bayesPO_initial-class and bayesPO_prior-class and bayesPO_model