GibbsMixtureModel: Gibbs Sampler for Abstract Mixture Models
In thetianshuhuang/bmcc_r: Markov Chain Bayesian Clustering
Description
Usage
Arguments
Value
Description
Gibbs Sampler for Abstract Mixture Models
Usage
1
2
GibbsMixtureModel(data, component_model = NULL, mixture_model = NULL,
assignments = NULL, thinning = 1L)
Arguments
data
Data matrix containing points to cluster on
component_model
Distribution of mixture components
mixture_model
Model for component mixing
assignments
Initial assignments. If NULL, initializes all points to
the same cluster
thinning
Thinning factor; only keeps 1/thinning samples.
Value
GibbsMixtureModel object.
thetianshuhuang/bmcc_r documentation built on Nov. 5, 2019, 10:05 a.m.
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Description Usage Arguments Value
Description
Gibbs Sampler for Abstract Mixture Models
Usage
1 2 | GibbsMixtureModel(data, component_model = NULL, mixture_model = NULL,
assignments = NULL, thinning = 1L)
|
Arguments
data |
Data matrix containing points to cluster on |
component_model |
Distribution of mixture components |
mixture_model |
Model for component mixing |
assignments |
Initial assignments. If NULL, initializes all points to the same cluster |
thinning |
Thinning factor; only keeps 1/thinning samples. |
Value
GibbsMixtureModel object.
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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