SQB
0.4Sequential Bagging on Regression
Overview
Methodology: Remove one observation. Training the rest of data that are sampled without replacement and given this observation's input, predict the response back. Replicate this N times and for each response, take a sample from these replicates with replacement. Average each responses of sample and again replicate this step N time for each observation. Approximate these N new responses by using bootstrap method and generate another N responses y'. Training these y' and predict to have N responses of each testing observation. The average of N is the final prediction. Each observation will do the same.
Install
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Documentation
- Examples that run
- 100%
- Documented parameters
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- Return-value docs
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- References docs
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Downloads
Dependencies
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Code & Tests
People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.3.0 released · 2023-04-21
- archivedRemoved from CRAN2022-04-27check issues were not corrected in time length > 1 in && or ||
- 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
- 0.42018-07-07 · diff ↗
- 0.22018-07-02 · diff ↗
- 0.12018-05-09
- RR 3.5.0 released · 2018-04-23
Package metadata
- Total releases
- 3
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.2.5
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("SQB")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
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From data release v2026-08-11, which the citation names so these numbers can be found later. More on citing and the projects behind them.