etree
0.1.0Classification and Regression with Structured and Mixed-Type Data
Overview
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) arXiv:2207.04430.
Install
Health
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- NOTE2026-06-090 OK · 13 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-080 OK · 12 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- NOTE2026-03-100 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 17%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 31%
Downloads
Repository
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Repository practices
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Checks run against github.com/ricgbl/etree on 2026-08-23.
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1.0Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2022-07-16
- Total releases
- 1 / 4 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.7.0
- Bundled data
- 1.5 MB / 2 files
- Download size
- 3.2 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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