Package: msPCA
Type: Package
Title: Sparse Principal Component Analysis with Multiple Principal
        Components
Version: 0.5.1
Date: 2026-08-25
Authors@R: c(
    person("Ryan", "Cory-Wright", , "r.cory-wright@imperial.ac.uk", role = c("aut", "cph"),
           comment = c(ORCID = "0000-0002-4485-0619")),
    person("Jean", "Pauphilet", , "jpauphilet@london.edu", role = c("aut", "cre", "cph"),
           comment = c(ORCID = "0000-0001-6352-0984"))
    )
Description: Implements an algorithm for computing multiple sparse
        principal components of a dataset. The method is based on
        Cory-Wright and Pauphilet "Sparse PCA with Multiple Components"
        (2026) <doi:10.1287/opre.2023.0598>. The algorithm uses an
        iterative deflation heuristic with a truncated power method
        applied at each iteration to compute sparse principal
        components with controlled sparsity.
License: MIT + file LICENSE
URL: https://jeanpauphilet.github.io/msPCA/
BugReports: https://github.com/jeanpauphilet/msPCA/issues
Depends: R (>= 3.5)
Imports: Rcpp (>= 1.0.11)
Suggests: covr, datasets, knitr, rmarkdown, testthat (>= 3.0.0)
Config/testthat/edition: 3
LinkingTo: Rcpp, RcppEigen
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
VignetteBuilder: knitr
Config/roxygen2/version: 8.1.0
Roxygen: list(markdown = TRUE)
Repository: https://jeanpauphilet.r-universe.dev
Date/Publication: 2026-08-25 10:54:33 UTC
RemoteUrl: https://github.com/jeanpauphilet/mspca
RemoteRef: HEAD
RemoteSha: 67452dea77b8bddd588e4d8db9268323ccdab388
NeedsCompilation: yes
Packaged: 2026-10-24 09:17:10 UTC; root
Author: Ryan Cory-Wright [aut, cph] (ORCID:
    <https://orcid.org/0000-0002-4485-0619>),
  Jean Pauphilet [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0001-6352-0984>)
Maintainer: Jean Pauphilet <jpauphilet@london.edu>