LstsqResult: Perform Least Squares analysis on the output of a MCMC...
In thetianshuhuang/bmcc_r: Markov Chain Bayesian Clustering
Description
Usage
Arguments
Value
Description
Perform Least Squares analysis on the output of a MCMC clustering algorithm.
Usage
1
LstsqResult(data, hist, burn_in = 0L)
Arguments
data
Data matrix containing points the clustering was performed on
hist
History of clusterings output by the algorithm
burn_in
Number of samples to discard as burn-in
Value
LstsqResult object.
thetianshuhuang/bmcc_r documentation built on Nov. 5, 2019, 10:05 a.m.
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Description Usage Arguments Value
Description
Perform Least Squares analysis on the output of a MCMC clustering algorithm.
Usage
1 | LstsqResult(data, hist, burn_in = 0L)
|
Arguments
data |
Data matrix containing points the clustering was performed on |
hist |
History of clusterings output by the algorithm |
burn_in |
Number of samples to discard as burn-in |
Value
LstsqResult 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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