sigma2-method: Retrieve the variances of each component and batch...

In CNPBayes: Bayesian mixture models for copy number polymorphisms

Description

For a MarginalModel, this function returns a vector of variances. For a BatchModel, returns a matrix of size number of batches by number of components.

Usage

sigma(object) <- value

sigma2(object)

## S4 method for signature 'McmcChains'
sigma2(object)

## S4 method for signature 'MixtureModel'
sigma2(object)

## S4 method for signature 'MixtureModel'
sigma(object)

## S4 method for signature 'MultiBatchPooled'
sigma2(object)

## S4 replacement method for signature 'MultiBatchPooled,ANY'
sigma2(object) <- value

## S4 method for signature 'MultiBatchCopyNumberPooled'
sigma2(object)

## S4 method for signature 'MultiBatchCopyNumberPooled'
sigma(object)

## S4 replacement method for signature 'MultiBatchCopyNumberPooled,ANY'
sigma2(object) <- value

## S4 replacement method for signature 'MultiBatchCopyNumberPooled'
sigma(object) <- value

## S4 method for signature 'MultiBatchCopyNumberPooled'
sigma_(object)

Arguments

object

see showMethods(sigma2)

Value

A vector of length number of components or a matrix of size number of batches x number of components

Examples

     sigma2(SingleBatchModelExample)

CNPBayes documentation built on May 6, 2019, 4:06 a.m.