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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.
| Version: | 0.2.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | mice, plsRglm, stats, utils, VIM |
| Suggests: | bcv, knitr, mlbench, plsdof, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2026-04-13 |
| DOI: | 10.32614/CRAN.package.missPLS (may not be active yet) |
| Author: | Titin Agustin Nengsih [aut], Frederic Bertrand [aut, cre], Myriam Maumy-Bertrand [aut] |
| Maintainer: | Frederic Bertrand <frederic.bertrand at lecnam.net> |
| BugReports: | https://github.com/fbertran/missPLS/issues |
| License: | GPL-3 |
| URL: | https://fbertran.github.io/missPLS/, https://github.com/fbertran/missPLS |
| NeedsCompilation: | no |
| Citation: | missPLS citation info |
| Materials: | NEWS |
| CRAN checks: | missPLS results |
| Reference manual: | missPLS.html , missPLS.pdf |
| Vignettes: |
missPLS (source, R code) |
| Package source: | missPLS_0.2.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: missPLS_0.2.0.zip, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): missPLS_0.2.0.tgz, r-oldrel (x86_64): missPLS_0.2.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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