Package: lwpls
Type: Package
Title: Locally-Weighted Partial Least Squares for 'tidymodels'
Version: 0.3.0
Authors@R: c(
    person("Christian L.", "Goueguel", , "christian.goueguel@gmail.com", role = c("aut", "cre"))
  )
Description: Locally-weighted partial least squares (LW-PLS) is a
        just-in-time learning method that builds a dedicated weighted
        partial least squares model around every new sample, where
        training samples are weighted by their similarity to that
        sample (Kim et al. (2011) <doi:10.1016/j.ijpharm.2011.10.007>).
        Regression (single or multiple outcomes) and classification
        (locally weighted partial least squares-discriminant analysis;
        Bevilacqua and Marini (2014) <doi:10.1016/j.aca.2014.05.057>)
        are supported. The local models can be robust to outliers, by
        partial robust M-regression (Serneels et al. (2005)
        <doi:10.1016/j.chemolab.2005.04.007>), and sparse (Hoffmann et
        al. (2015) <doi:10.1016/j.chemolab.2015.09.019>). The
        prediction kernel is written in C++ with 'RcppArmadillo', and
        the model is integrated with the 'parsnip', 'dials', 'tune' and
        'yardstick' packages so it can be used within the 'tidymodels'
        framework. Diagnostics of the local models (prediction
        reliability, local regression vectors, robust weights and
        selected predictors) come with 'ggplot2' plots designed for
        spectroscopic data.
License: MIT + file LICENSE
URL: https://github.com/ChristianGoueguel/lwpls,
        https://christiangoueguel.com/lwpls/
BugReports: https://github.com/ChristianGoueguel/lwpls/issues
Depends: R (>= 4.1.0)
Imports: cli, dials (>= 1.2.0), generics, ggplot2 (>= 3.5.0), hardhat
        (>= 1.3.0), parsnip (>= 1.3.0), Rcpp, rlang (>= 1.1.0), scales
        (>= 1.3.0), stats, tibble, vctrs, yardstick (>= 1.2.0)
Suggests: dplyr, knitr, modeldata, plotly, pls, recipes, rmarkdown,
        rsample, spelling, testthat (>= 3.0.0), tune (>= 1.1.0), withr,
        workflows
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
Config/testthat/edition: 3
Encoding: UTF-8
Language: en-US
Roxygen: list(markdown = TRUE)
Config/roxygen2/version: 8.1.0
Config/pak/sysreqs: libicu-dev
Repository: https://christiangoueguel.r-universe.dev
Date/Publication: 2026-10-19 13:38:01 UTC
RemoteUrl: https://github.com/ChristianGoueguel/lwpls
RemoteRef: HEAD
RemoteSha: 7d9cf3f04cdfc5e6afc77038c9190fc25b5e9c6c
NeedsCompilation: yes
Packaged: 2026-10-19 13:47:48 UTC; root
Author: Christian L. Goueguel [aut, cre]
Maintainer: Christian L. Goueguel <christian.goueguel@gmail.com>