bootPLS
1.2.0Bootstrap Hyperparameter Selection for PLS Models and Extensions
Overview
Several implementations of non-parametric stable bootstrap-based techniques to determine the numbers of components for Partial Least Squares linear or generalized linear regression models as well as and sparse Partial Least Squares linear or generalized linear regression models. The package collects techniques that were published in a book chapter (Magnanensi et al. 2016, 'The Multiple Facets of Partial Least Squares and Related Methods', doi:10.1007/978-3-319-40643-5_18) and two articles (Magnanensi et al. 2017, 'Statistics and Computing', doi:10.1007/s11222-016-9651-4) and (Magnanensi et al. 2021, 'Frontiers in Applied Mathematics and Statistics', doi:10.3389/fams.2021.693126).
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-04-2813 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
- ERROR2026-04-2413 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 94%
- Documented parameters
- 97%
- Return-value docs
- 100%
- References docs
- 94%
Downloads
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Dependencies
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Code & Tests
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4 releases. Pick two to compare their code metrics. R releases are shown for context.
Package metadata
- First published
- 2021-07-15
- Total releases
- 4 / 5 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 13 KB / 1 file
- Download size
- 96 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
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Run in R for the authors' preferred citation:
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