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etree
View on CRAN: Click
here
Download and install etree package within the R console
Install from CRAN:
install.packages("etree")
Install from Github:
library("remotes")
install_github("cran/etree") Install by package version:
library("remotes")
install_version("etree", "0.1.0") Attach the package and use:
library("etree")
Maintained by
Riccardo Giubilei
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-07-16
Latest Update: 2022-07-16
Description:
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)
.
How to cite:
Riccardo Giubilei (2022). etree: Classification and Regression with Structured and Mixed-Type Data. R package version 0.1.0, https://cran.r-project.org/web/packages/etree. Accessed 25 Jun. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited etree R package
View etree citation profile
Other R packages that etree depends,
imports, suggests or enhances
Complete documentation for etree
Functions, R codes and Examples using
the etree R package
Some associated functions: data_cls . data_reg . dist_comp . eforest . etree-methods . etree-package . etree-size . etree . nodeapply . nodeids . plot.etree . predict.eforest . predict.etree .
Some associated R codes: data_cls.R . data_reg.R . distances.R . eforest.R . etree-methods.R . etree-package.R . etree.R . graphs.R . growtree.R . indeptests.R . nodes.R . partykit_misc.R . plot.R . predict.R . size.R . splits.R . Full etree package functions and examples
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