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etree  

Classification and Regression with Structured and Mixed-Type Data
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]
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 21 Nov. 2024.
Previous versions and publish date:
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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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