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.
An object of class
This function is used internally by
as.Mclust, for visualisation purposes.
variance component only from the
parameters list from the output of a call to
MoE_clust, modified accordingly.
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
Keefe Murphy - <email@example.com>
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>.
1 2 3 4 5 6 7 8 9
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.