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Fits Penalized Partial Least Squares (PLS) regression when predictors are hybrid objects that combine functional curves (infinite-dimensional 'fda' objects) and scalar covariates (finite-dimensional numeric matrices). The package treats a hybrid predictor as an element of a product Hilbert space formed by the functional and Euclidean components, and implements the arithmetic (addition, scalar multiplication, and inner products, including roughness-penalized inner products) needed to run penalized PLS directly in that space. The algorithm extracts latent components that maximize covariance with a scalar response while penalizing roughness of the estimated functional coefficient curves. Helpers are included for constructing hybrid predictors, two-step within- and between-modality normalization, train/test splitting, synthetic data generation, cross-validated component selection, and prediction. The method is described in Mun and Jang (2026) <doi:10.48550/arXiv.2601.16364>.
| Version: | 0.1.0 |
| Imports: | fda (≥ 6.1.3), stats |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2026-09-23 |
| DOI: | 10.32614/CRAN.package.FSHybridPLS (may not be active yet) |
| Author: | Jongmin Mun [aut, cre, cph] |
| Maintainer: | Jongmin Mun <jongmin.mun at marshall.usc.edu> |
| BugReports: | https://github.com/Jong-Min-Moon/FShybridPLS/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/Jong-Min-Moon/FShybridPLS |
| NeedsCompilation: | no |
| Citation: | FSHybridPLS citation info |
| Materials: | README, NEWS |
| CRAN checks: | FSHybridPLS results |
| Reference manual: | FSHybridPLS.html , FSHybridPLS.pdf |
| Vignettes: |
Introduction to FSHybridPLS (source, R code) |
| Package source: | FSHybridPLS_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: FSHybridPLS_0.1.0.zip |
| macOS binaries: | r-release (arm64): FSHybridPLS_0.1.0.tgz, r-oldrel (arm64): FSHybridPLS_0.1.0.tgz, r-release (x86_64): FSHybridPLS_0.1.0.tgz, r-oldrel (x86_64): FSHybridPLS_0.1.0.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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