mclustLoglik: Log-likelihood from a table of BIC values for parameterized...
In mclust: Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation
mclustLoglik R Documentation
Log-likelihood from a table of BIC values for parameterized Gaussian mixture models
Description
Compute the maximal log-likelihood from a table of BIC values contained in a 'mclustBIC' object as returned by function mclustBIC.
Usage
mclustLoglik(object, ...)
Arguments
object
An object of class 'mclustBIC' containing the
BIC values as returned by a call to mclustBIC.
...
Catches unused arguments in an indirect or list call via do.call.
Value
An object of class 'mclustLoglik' containing the maximal log-likelihood values for the Gaussian mixture models provided as input.
See Also
mclustBIC.
Examples
BIC <- mclustBIC(iris[,1:4])
mclustLoglik(BIC)
mclust documentation built on May 29, 2024, 8:06 a.m.
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| mclustLoglik | R Documentation |
Log-likelihood from a table of BIC values for parameterized Gaussian mixture models
Description
Compute the maximal log-likelihood from a table of BIC values contained in a 'mclustBIC' object as returned by function mclustBIC.
Usage
mclustLoglik(object, ...)
Arguments
object |
An object of class |
... |
Catches unused arguments in an indirect or list call via |
Value
An object of class 'mclustLoglik' containing the maximal log-likelihood values for the Gaussian mixture models provided as input.
See Also
mclustBIC.
Examples
BIC <- mclustBIC(iris[,1:4])
mclustLoglik(BIC)
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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