Methods and Reproducible Workflows for Partial Least Squares with Missing Data
Overview
Methods-first tooling for reproducing and extending the partial least squares regression studies on incomplete data described in Nengsih et al. (2019) doi:10.1515/sagmb-2018-0059. The package provides simulation helpers, missingness generators, imputation wrappers, component-selection utilities, real-data diagnostics, and reproducible study orchestration for Nonlinear Iterative Partial Least Squares (NIPALS)-Partial Least Squares (PLS) workflows.
- Improved test portability across BLAS/LAPACK implementations, including MKL, by comparing complete-data Q2 cross-validation summaries with a numeric tolerance while keeping exact selected-component parity checks.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK5 OK2026-04-14
Documentation
- Help pages
- 13 (1 internal)includes a package overview page
- Examples that run
- 100%6 run in a plain check
- Exported functions with examples
- 75%
- Documented parameters
- 95%
- Return-value docs
- 100%
- Help pages citing references
- 0%
- missPLS HTML
Downloads
Repository
Stars over time
6 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/fbertran/misspls on 2026-10-21.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
GitHub Pages site last deployed 2026-04-11
pkgdown site last built 2026-04-07, before release 0.2.1 (2026-04-30)
Dependencies
Installing missPLS adds 109 packages (65 with compiled code, 110 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
Datasets
People & History
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- 0.2.1Latest
- RR 4.6.0 released · 2026-04-24
- 0.2.02026-04-13
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2026-04-13
- Total releases
- 2 / 1 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.1.0
- Bundled data
- 211 KB / 4 files
- Download size
- 240 KB
Cite
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Run in R for the authors' preferred citation:
citation("missPLS")The package provides a citation file that builds its entry when R runs it. Run citation() to see it.
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From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.