marginal_lik: Accessor for the log marginal likelihood of a SB, SBP, MB, or...
In CNPBayes: Bayesian mixture models for copy number polymorphisms
Description
Usage
Arguments
See Also
Examples
Description
The marginal likelihood is computed by Chib's estimator (JASA, Volume 90 (435), 1995).
Usage
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marginal_lik(object)
marginal_lik(object) <- value
## S4 method for signature 'MixtureModel'
marginal_lik(object)
## S4 replacement method for signature 'MixtureModel,numeric'
marginal_lik(object) <- value
Arguments
object
a SB, SBP, MB, or MBP model
value
scalar for marginal likelihood
See Also
See marginalLikelihood for computing the marginal likelihood of a mixture model.
Examples
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sb <- SingleBatchModelExample
marginal_lik(sb)
CNPBayes documentation built on May 6, 2019, 4:06 a.m.
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Description Usage Arguments See Also Examples
Description
The marginal likelihood is computed by Chib's estimator (JASA, Volume 90 (435), 1995).
Usage
1 2 3 4 5 6 7 8 9 | marginal_lik(object)
marginal_lik(object) <- value
## S4 method for signature 'MixtureModel'
marginal_lik(object)
## S4 replacement method for signature 'MixtureModel,numeric'
marginal_lik(object) <- value
|
Arguments
object |
a SB, SBP, MB, or MBP model |
value |
scalar for marginal likelihood |
See Also
See marginalLikelihood for computing the marginal likelihood of a mixture model.
Examples
1 2 | sb <- SingleBatchModelExample
marginal_lik(sb)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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