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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "FSHybridPLS" in publications use:'
type: software
license: MIT
title: 'FSHybridPLS: Hybrid Penalized Partial Least Squares for Mixed Data'
version: 0.1.0
doi: 10.48550/arXiv.2601.16364
abstract: 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) <https://doi.org/10.48550/arXiv.2601.16364>.
authors:
- family-names: Mun
  given-names: Jongmin
  email: jongmin.mun@marshall.usc.edu
preferred-citation:
  type: generic
  title: Hybrid Partial Least Squares Regression with Multiple Functional and Scalar
    Predictors
  authors:
  - family-names: Mun
    given-names: Jongmin
    email: jongmin.mun@marshall.usc.edu
  - family-names: Jang
    given-names: Jeong Hoon
  year: '2026'
  notes: arXiv:2601.16364
  doi: 10.48550/arXiv.2601.16364
  url: https://arxiv.org/abs/2601.16364
repository: https://cran.r-universe.dev
repository-code: https://github.com/Jong-Min-Moon/FShybridPLS
commit: 15c6badc3f79071ebd31ef4f0f3a76a9b275ded6
url: https://github.com/Jong-Min-Moon/FShybridPLS
date-released: '2026-09-23'
contact:
- family-names: Mun
  given-names: Jongmin
  email: jongmin.mun@marshall.usc.edu
references:
- type: manual
  title: 'FSHybridPLS: Hybrid Penalized Partial Least Squares for Functional and Scalar
    Data'
  authors:
  - family-names: Mun
    given-names: Jongmin
  year: '2026'
  notes: R package version 0.1.0