Description Usage Arguments Details Value Note Author(s) References See Also Examples
In the presence of expert network covariates, this helper function modifies the component-specific covariance matrices of a "MoEClust"
object, in order to account for the extra variability of the means, usually resulting in bigger shapes & sizes for the MVN ellipses. The function also works for univariate response data.
1 | expert_covar(x)
|
x |
An object of class |
This function is used internally by plot.MoEClust
and as.Mclust
, for visualisation purposes.
The variance
component only from the parameters
list from the output of a call to MoE_clust
, modified accordingly.
The modelName
of the resulting variance
object may not correspond to the model name of the "MoEClust"
object, in particular scale, shape, &/or orientation may no longer be constrained across clusters. Usually, the modelName
of the transformed variance
object will be "VVV"
.
Keefe Murphy - <keefe.murphy@mu.ie>
Murphy, K. and Murphy, T. B. (2020). Gaussian parsimonious clustering models with covariates and a noise component. Advances in Data Analysis and Classification, 14(2): 293-325. <doi: 10.1007/s11634-019-00373-8>.
MoE_clust
, MoE_gpairs
, plot.MoEClust
, as.Mclust
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