sample.bmm.component.proportion: sample.bmm.component.proportion: Sample (scalar) proportions...
In genome/bmm: Variational Bayesian approach to fitting mixtures of beta, binomial, or Gaussian distributions
sample.bmm.component.proportion R Documentation
sample.bmm.component.proportion: Sample (scalar) proportions from a bmm component
Description
sample.bmm.component.proportion: Sample (scalar) proportions in a
particular dimension from the
posterior of a particular component in
the Beta mixture model
Usage
sample.bmm.component.proportion(mu, alpha, nu, beta, num.samples)
Arguments
mu
a (scalar) shape parameter for the gamma prior distribution over
a particular component's u parameter.
alpha
a (scalar) rate (i.e., inverse scale) parameter for the gamma prior
distribution over a particular component's u parameter.
nu
a (scalar) shape parameter for the gamma prior distribution over
a particular component's v parameter.
beta
a (scalar) rate (i.e., inverse scale) parameter for the gamma prior
distribution over a particular component's v parameter.
num.samples
the number of samples to return
Value
a vector of length num.samples holding proportions sampled from the
posterior distribution of the component and dimension of the Beta
mixture model indicated by the input parameters.
genome/bmm documentation built on Aug. 4, 2022, 8:01 a.m.
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| sample.bmm.component.proportion | R Documentation |
sample.bmm.component.proportion: Sample (scalar) proportions from a bmm component
Description
sample.bmm.component.proportion: Sample (scalar) proportions in a particular dimension from the posterior of a particular component in the Beta mixture model
Usage
sample.bmm.component.proportion(mu, alpha, nu, beta, num.samples)
Arguments
mu |
a (scalar) shape parameter for the gamma prior distribution over a particular component's u parameter. |
alpha |
a (scalar) rate (i.e., inverse scale) parameter for the gamma prior distribution over a particular component's u parameter. |
nu |
a (scalar) shape parameter for the gamma prior distribution over a particular component's v parameter. |
beta |
a (scalar) rate (i.e., inverse scale) parameter for the gamma prior distribution over a particular component's v parameter. |
num.samples |
the number of samples to return |
Value
a vector of length num.samples holding proportions sampled from the posterior distribution of the component and dimension of the Beta mixture model indicated by the input parameters.
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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