Power Analysis for PLS Classification
Overview
It estimates power and sample size for Partial Least Squares-based methods described in Andreella, et al., (2024), doi:10.48550/arXiv.2403.10289.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK13 OK2026-05-02
Show 2 earlier changesHide 2 earlier changes
- ERROR11 OK, 1 ERROR2026-04-25
- OK14 OK2026-03-10
Documentation
- Help pages
- 20 (3 internal)
- Examples that run
- 87%13 run in a plain check · 2 never run
- Exported functions with examples
- 83%
- Documented parameters
- 100%
- Return-value docs
- 94%
- Help pages citing references
- 90%
Downloads
Repository
Issues over time
4 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/angeella/powerpls on 2026-10-21.
Dependencies
Installing powerPLS adds 83 packages (49 with compiled code, 65 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
Datasets
People & History
Package metadata
- First published
- 2024-03-21
- Total releases
- 4 / 2 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 61 KB / 2 files
- Download size
- 84 KB
Cite
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