cpo.multNRMI: Extract the Conditional Predictive Ordinates (CPOs) from a...

In konkam/BNPdensity: Ferguson-Klass Type Algorithm for Posterior Normalized Random Measures

Extract the Conditional Predictive Ordinates (CPOs) from a list of fitted objects

Description

This function assumes that all chains have the same size. To allow for different chain sizes, care should be paid to proper weighting.

Usage

## S3 method for class 'multNRMI'
cpo(object, ...)

Arguments

object	A fit obtained through from the functions MixNRMI1/MixNRMI1cens
...	Further arguments to be passed to generic function, ignored at the moment

Value

A vector of Conditional Predictive Ordinates (CPOs)

Examples

data(acidity)
out <- multMixNRMI1(acidity, parallel = TRUE, Nit = 10, ncores = 2)
cpo(out)

konkam/BNPdensity documentation built on March 14, 2024, 7:15 a.m.