burn.DPMMclust: Burning MCMC iterations from a Dirichlet Process Mixture...
In NPflow: Bayesian Nonparametrics for Automatic Gating of Flow-Cytometry Data
Description
Usage
Arguments
Value
Author(s)
See Also
Description
Utility function for burning MCMC iteration from a DPMMclust object.
Usage
1
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
NPflow documentation built on Feb. 6, 2020, 5:15 p.m.
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Description Usage Arguments Value Author(s) See Also
Description
Utility function for burning MCMC iteration from a DPMMclust object.
Usage
1 | 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
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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