conTree
0.3-1Contrast Trees and Boosting
Overview
Contrast trees represent a new approach for assessing the accuracy of many types of machine learning estimates that are not amenable to standard (cross) validation methods; see "Contrast trees and distribution boosting", Jerome H. Friedman (2020) doi:10.1073/pnas.1921562117. In situations where inaccuracies are detected, boosted contrast trees can often improve performance. Functions are provided to to build such trees in addition to a special case, distribution boosting, an assumption free method for estimating the full probability distribution of an outcome variable given any set of joint input predictor variable values.
Install
Health
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 97%
- Return-value docs
- 100%
- References docs
- 13%
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2 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/bnaras/contree on 2026-07-30.
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Nothing depends on this yet.
Code & Tests
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.3-1Latest
- 0.32023-06-07
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2023-06-07
- Total releases
- 2 / 3 yrs
- License
- Apache License 2.0 OSI
- Minimum R
- ≥ 3.5
- Bundled data
- 1.7 MB / 3 files
- Download size
- 1.9 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet