Package: clustvarsel 2.3.4

clustvarsel: Variable Selection for Gaussian Model-Based Clustering

Variable selection for Gaussian model-based clustering as implemented in the 'mclust' package. The methodology allows to find the (locally) optimal subset of variables in a data set that have group/cluster information. A greedy or headlong search can be used, either in a forward-backward or backward-forward direction, with or without sub-sampling at the hierarchical clustering stage for starting 'mclust' models. By default the algorithm uses a sequential search, but parallelisation is also available.

Authors:Nema Dean [aut], Adrian E. Raftery [aut], Luca Scrucca [aut, cre]

clustvarsel_2.3.4.tar.gz
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clustvarsel_2.3.4.tgz(r-4.4-any)clustvarsel_2.3.4.tgz(r-4.3-any)
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clustvarsel.pdf |clustvarsel.html✨
clustvarsel/json (API)
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8 exports 1.00 score 15 dependencies 1 dependents 2 mentions 26 scripts 397 downloads

Last updated 4 years agofrom:7fbc9b69ab. Checks:OK: 5 NOTE: 2. Indexed: yes.

Exports:BICregclustvarselclvarselgrbkwclvarselgrfwdclvarselhlbkwclvarselhlfwdprint.clustvarselstartParallel

Dependencies:BMAcodetoolsDEoptimRforeachinlineiteratorslatticeleapsMatrixmclustmvtnormpcaPProbustbaserrcovsurvival