CNPBayes
Bayesian mixture models for copy number polymorphisms

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logPrior-method: Calculate log likelihood of prior for model

logPrior-method: Calculate log likelihood of prior for model
In CNPBayes: Bayesian mixture models for copy number polymorphisms

Description Usage Arguments Value Examples

Description

Calculate log likelihood of prior for model

Usage

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logPrior(object)

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

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

Arguments

object

see showMethods(logPrior)

Value

log likelihood of the prior.

Examples

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     logPrior(SingleBatchModelExample)

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

Related to logPrior-method in CNPBayes...

CNPBayes index
README.md Implementation of Bayesian mixture models for copy number estimation Overview of CNPBayes package Overview of CNPBayes package Implementation of Bayesian mixture models for copy number estimation Inspecting Convergence of a Model Overview of CNPBayes package

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