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Lifecycle: experimental

rupclass

Robust modification to the Model-Based Classification framework, employing impartial trimming and constraints on the ratio between the maximum and the minimum eigenvalue of the group scatter matrices. Both supervised (redda) and semi-supervised (rupclass) versions are included.

This repository is associated with the paper Cappozzo, Greselin, Murphy (2020) A robust approach to model-based classification based on trimming and constraints. https://doi.org/10.1007/s11634-019-00371-w

Installation

You can install the development version of rupclass from github with:

devtools::install_github("AndreaCappozzo/rupclass")

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Robust model-based classification based on trimming and constraints

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