HyperparametersMarginal-class


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


Bayesian hierarchical mixture models for batch effects and copy
number.

Jacob Carey

CNPBayes

Bayesian mixture models for copy number polymorphisms

HyperparametersMarginal-class function

 <dl>
<dt><code>k</code></dt><dd>Number of components</dd> <dt><code>mu.0</code></dt><dd>Prior mean for mu.</dd> <dt><code>tau2.0</code></dt><dd>prior variance on mu</dd> <dt><code>eta.0</code></dt><dd>rate paramater for tau2</dd> <dt><code>m2.0</code></dt><dd>shape parameter for tau2</dd> <dt><code>alpha</code></dt><dd>mixture probabilities</dd> <dt><code>beta</code></dt><dd>parameter for nu.0 distribution</dd> <dt><code>a</code></dt><dd>shape for sigma2.0</dd> <dt><code>b</code></dt><dd>rate for sigma2.0</dd> </dl>

Slots

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

HyperparametersMarginal-class: An object to specify the hyperparameters of a marginal model.

Description

Arguments

Slots