Decision Trees
Overview
Combines various decision tree algorithms, plus both linear regression and ensemble methods into one package. Allows for the use of both continuous and categorical outcomes. An optional feature is to quantify the (in)stability to the decision tree methods, indicating when results can be trusted and when ensemble methods may be preferential.
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Documentation
- Help pages
- 3
- Examples that run
- 0%1 never run · 1 hold no code
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 0%
- Help pages citing references
- 0%
Downloads
Dependencies
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.3.0 released · 2023-04-21
- archivedRemoved from CRAN2022-06-23requires archived package 'rpart.utils'
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 0.4.22018-01-18 · diff ↗
- RR 3.4.0 released · 2017-04-21
- 0.2.32017-04-20
- RR 3.3.0 released · 2016-05-03
Package metadata
- First published
- 2017-04-20
- Total releases
- 2 / 9 yrs
- License
- GPL (>= 2) OSI
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