As data continue to grow in complexity, so does the need for models and methods that directly account for their non-trivial structure because any simplification may induce loss of information. Energy Trees have been recently proposed following this principle as a unifying and statistically sound framework for classification and regression with structured and mixed-type covariates. In this work, we provide an illustration of etree, which is the R package where Energy Trees are implemented. We describe its origin, structure, main function, and other important features, such as methods for plotting and making predictions. The package currently covers functional data and graphs as structured covariates. However, thanks to its modular infrastructure, any other type of variable can be easily included.

etree: Classification and Regression With Structured
and Mixed-Type Data in R / Giubilei, Riccardo; Padellini, Tullia; Brutti, Pierpaolo. - (2022), pp. 2049-2054. (Intervento presentato al convegno The 51st Scientific Meeting of the Italian Statistical Society, SIS 2022 tenutosi a Caserta, Italy).

etree: Classification and Regression With Structured
and Mixed-Type Data in R

Riccardo Giubilei
Primo
;
Tullia Padellini
Secondo
;
Pierpaolo Brutti
Ultimo
2022

Abstract

As data continue to grow in complexity, so does the need for models and methods that directly account for their non-trivial structure because any simplification may induce loss of information. Energy Trees have been recently proposed following this principle as a unifying and statistically sound framework for classification and regression with structured and mixed-type covariates. In this work, we provide an illustration of etree, which is the R package where Energy Trees are implemented. We describe its origin, structure, main function, and other important features, such as methods for plotting and making predictions. The package currently covers functional data and graphs as structured covariates. However, thanks to its modular infrastructure, any other type of variable can be easily included.
2022
The 51st Scientific Meeting of the Italian Statistical Society, SIS 2022
Energy Trees, R package, Conditional Trees, Energy Statistics, Complex Data.
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
etree: Classification and Regression With Structured
and Mixed-Type Data in R / Giubilei, Riccardo; Padellini, Tullia; Brutti, Pierpaolo. - (2022), pp. 2049-2054. (Intervento presentato al convegno The 51st Scientific Meeting of the Italian Statistical Society, SIS 2022 tenutosi a Caserta, Italy).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1672547
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