Sparse Group Partial Least Square Methods
Overview
Regularized version of partial least square approaches providing sparse, group, and sparse group versions of partial least square regression models (Liquet, B., Lafaye de Micheaux, P., Hejblum B., Thiebaut, R. (2016) doi:10.1093/bioinformatics/btv535). Version of PLS Discriminant analysis is also provided.
Install
Health
- OK13 OK2026-08-04
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 18includes a package overview page
- Examples that run
- 46%6 run in a plain check · 7 never run
- Exported functions with examples
- 81%
- Documented parameters
- 91%
- Return-value docs
- 88%
- Help pages citing references
- 50%
Downloads
Dependencies
Installing sgPLS adds 1 package (1 with compiled code, 1.0 MB of source tarballs). Heaviest: mvtnorm 1.0 MB. 1 more not on CRAN is not measured.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 1.8.1Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.82023-10-05 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 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
- 1.7
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- 1.42015-11-25 · diff ↗
- 1.32015-08-27 · diff ↗
Package metadata
- First published
- 2015-02-10
- Total releases
- 8 / 11 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 4.0.0
- Bundled data
- 363 KB / 1 file
- Download size
- 387 KB
Cite
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Run in R for the authors' preferred citation:
citation("sgPLS")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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