CRAN/E | etree

etree

Classification and Regression with Structured and Mixed-Type Data

Installation

About

Implementation of Energy Trees, a statistical model to perform classification and regression with structured and mixed-type data. The model has a similar structure to Conditional Trees, but brings in Energy Statistics to test independence between variables that are possibly structured and of different nature. Currently, the package covers functions and graphs as structured covariates. It builds upon 'partykit' to provide functionalities for fitting, printing, plotting, and predicting with Energy Trees. Energy Trees are described in Giubilei et al. (2022) .

github.com/ricgbl/etree
Bug report File report

Key Metrics

Version 0.1.0
R ≥ 3.7.0
Published 2022-07-16 508 days ago
Needs compilation? no
License GPL-3
CRAN checks etree results

Downloads

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Maintainer

Maintainer

Riccardo Giubilei

riccardogbl@gmail.com

Authors

Riccardo Giubilei

aut / cre

Tullia Padellini

aut

Pierpaolo Brutti

aut

Marco Brandi

ctb

Gabriel Nespoli

ctb

Torsten Hothorn

ctb

((partykit author))

Achim Zeileis

ctb

((partykit author))

Material

README
Reference manual
Package source

Vignettes

eforest(): Random Forests With Energy Trees as Base Learners
etree: Classification and Regression With Structured and Mixed-Type Data

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 3.7.0

Imports

brainGraph
cluster
energy
fda.usc ≥ 2.0.0
igraph
NetworkDistance
parallel
partykit
survival
TDA
usedist

Suggests

knitr
MLmetrics
rmarkdown
testthat ≥ 3.0.0