HyperparametersMarginal-class: An object to specify the hyperparameters of a marginal model.
In CNPBayes: Bayesian mixture models for copy number polymorphisms

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This class inherits from the Hyperparameters class. This class is for hyperparameters which are marginal over the batches.

k: Number of components
mu.0: Prior mean for mu.
tau2.0: prior variance on mu
eta.0: rate paramater for tau2
m2.0: shape parameter for tau2
alpha: mixture probabilities
beta: parameter for nu.0 distribution
a: shape for sigma2.0
b: rate for sigma2.0

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

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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