burn.DPMMclust: Burning MCMC iterations from a Dirichlet Process Mixture...
In borishejblum/NPflow: Bayesian Nonparametrics for Automatic Gating of Flow-Cytometry Data
burn.DPMMclust R Documentation
Burning MCMC iterations from a Dirichlet Process Mixture Model.
Description
Utility function for burning MCMC iteration from a DPMMclust object.
Usage
burn.DPMMclust(x, burnin = 0, thin = 1)
Arguments
x
a DPMMclust object.
burnin
the number of MCMC iterations to burn (default is 0).
thin
the spacing at which MCMC iterations are kept.
Default is 1, i.e. no thining.
Value
a DPMMclust object minus the burnt iterations
Author(s)
Boris Hejblum
See Also
summary.DPMMclust
borishejblum/NPflow documentation built on Feb. 2, 2024, 1:51 a.m.
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.
| burn.DPMMclust | R Documentation |
Burning MCMC iterations from a Dirichlet Process Mixture Model.
Description
Utility function for burning MCMC iteration from a DPMMclust object.
Usage
burn.DPMMclust(x, burnin = 0, thin = 1)
Arguments
x |
a |
burnin |
the number of MCMC iterations to burn (default is |
thin |
the spacing at which MCMC iterations are kept.
Default is |
Value
a DPMMclust object minus the burnt iterations
Author(s)
Boris Hejblum
See Also
summary.DPMMclust
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.