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

Description Slots

An object to specify the hyperparameters of a model.

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
dfr: positive number for t-distribution degrees of freedom

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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