lolR
2.1Linear Optimal Low-Rank Projection
Overview
Supervised learning techniques designed for the situation when the dimensionality exceeds the sample size have a tendency to overfit as the dimensionality of the data increases. To remedy this High dimensionality; low sample size (HDLSS) situation, we attempt to learn a lower-dimensional representation of the data before learning a classifier. That is, we project the data to a situation where the dimensionality is more manageable, and then are able to better apply standard classification or clustering techniques since we will have fewer dimensions to overfit. A number of previous works have focused on how to strategically reduce dimensionality in the unsupervised case, yet in the supervised HDLSS regime, few works have attempted to devise dimensionality reduction techniques that leverage the labels associated with the data. In this package and the associated manuscript Vogelstein et al. (2017) arXiv:1709.01233, we provide several methods for feature extraction, some utilizing labels and some not, along with easily extensible utilities to simplify cross-validative efforts to identify the best feature extraction method. Additionally, we include a series of adaptable benchmark simulations to serve as a standard for future investigative efforts into supervised HDLSS. Finally, we produce a comprehensive comparison of the included algorithms across a range of benchmark simulations and real data applications.
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- NOTE2026-03-100 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
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- Return-value docs
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- References docs
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Nothing depends on this yet.
Code & Tests
People & History
4 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
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 2.1Latest
- unarchivedReturned to CRAN2020-06-27
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- archivedRemoved from CRAN2019-04-22check errors were not corrected despite reminders
- RR 3.5.0 released · 2018-04-23
- 2.02018-04-13 · diff ↗
- 1.0.12018-02-05 · diff ↗
- 1.02018-02-05
- RR 3.4.0 released · 2017-04-21
Package metadata
- First published
- 2018-02-05
- Total releases
- 4 / 8 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.4.0
- Download size
- 2.5 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet