bayesPO_initial-class: Class for the initial values for the MCMC for the bayesPO...

In bayesPO: Bayesian Inference for Presence-Only Data

Class for the initial values for the MCMC for the bayesPO package

Description

Class for the initial values for the MCMC for the bayesPO package

Usage

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

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

## S4 method for signature 'bayesPO_initial,ANY'
e1 + e2

## S4 method for signature 'list,bayesPO_initial'
e1 + e2

## S4 method for signature 'bayesPO_initial,list'
e1 + e2

## S4 method for signature 'bayesPO_initial,numeric'
e1 * e2

## S4 method for signature 'numeric,bayesPO_initial'
e1 * e2

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

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

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

Arguments

x	The bayesPO_initial object.
name	The requested slot.
e1	A bayesPO_initial object.
e2	Another bayesPO_initial object or a list with bayesPO_initial objects for + and a positive integer for *. e1 and e2 can be switched (+ and * are commutative).
object	A bayesPO_initial object.
...	Currently unused.

Value

names: A character vector with the initialized parameter names.

`$`: The requested initial value (in case of LambdaStar) or values (in case of Beta or Delta).

+: A list with the objects. Useful to start the fit_bayesPO function, as it requires a list of initial values.

*: A list with e2 random initial values.

show and print: The invisible object.

Fields

beta

Initial values for beta.

delta

Initial values for delta.

lambdaStar

Initial values for lambdaStar.

tag

Indicates the source of the initial values.

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