DPM: Dirichlet Process Mixture Model Object
In thetianshuhuang/bmcc_r: Markov Chain Bayesian Clustering
Description
Usage
Arguments
Value
Description
Dirichlet Process Mixture Model Object
Usage
1
2
Arguments
alpha
DPM mixing parameter
use_eb
Do empirical bayes updates on alpha?
eb_threshold
Threshold to start empirical bayes computation from
convergence
Error threshold for empirical bayes equation
Value
DPM object; use this as the 'mixture_model' for GibbsMixtureModel.
thetianshuhuang/bmcc_r documentation built on Nov. 5, 2019, 10:05 a.m.
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Description Usage Arguments Value
Description
Dirichlet Process Mixture Model Object
Usage
1 2 |
Arguments
alpha |
DPM mixing parameter |
use_eb |
Do empirical bayes updates on alpha? |
eb_threshold |
Threshold to start empirical bayes computation from |
convergence |
Error threshold for empirical bayes equation |
Value
DPM object; use this as the 'mixture_model' for GibbsMixtureModel.
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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