# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "msPCA" in publications use:' type: software license: MIT title: 'msPCA: Sparse Principal Component Analysis with Multiple Principal Components' version: 0.4.0 doi: 10.32614/CRAN.package.msPCA abstract: 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 Principal Components" (2026) . The algorithm uses an iterative deflation heuristic with a truncated power method applied at each iteration to compute sparse principal components with controlled sparsity. authors: - family-names: Cory-Wright given-names: Ryan email: r.cory-wright@imperial.ac.uk orcid: https://orcid.org/0000-0002-4485-0619 - family-names: Pauphilet given-names: Jean email: jpauphilet@london.edu orcid: https://orcid.org/0000-0001-6352-0984 repository: https://jeanpauphilet.r-universe.dev commit: f243e30f225f8baee1b1287b57e66b9d081e5edd date-released: '2026-05-21' contact: - family-names: Pauphilet given-names: Jean email: jpauphilet@london.edu orcid: https://orcid.org/0000-0001-6352-0984