# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "spfcICOMP" in publications use:' type: software license: MIT title: 'spfcICOMP: Shrinkage Principal Fitted Components with Information Complexity-Based Model Selection' version: 0.1.0.9000 doi: 10.5281/zenodo.22310095 identifiers: - type: doi value: 10.32614/CRAN.package.spfcICOMP - type: url value: https://doi.org/10.5281/zenodo.22310094 abstract: Implements shrinkage principal fitted components for sufficient dimension reduction in high-dimensional regression and classification. Provides regularised covariance estimation using Oracle Approximating Shrinkage and Maximum Entropy Covariance, structural-dimension selection using conventional and information-complexity criteria, response-guided feature screening, reduced-space prediction, and simulation utilities. Methodological foundations include Cook and Forzani (2008) , Chen et al. (2010) , Bozdogan (2000) , and Olorede and Yahya (2019) . authors: - family-names: Olorede given-names: Kabir Opeyemi email: kabir.olorede@kwasu.edu.ng preferred-citation: type: manual title: 'spfcICOMP: Shrinkage Principal Fitted Components with Information Complexity-Based Model Selection' authors: - family-names: Olorede given-names: Kabir Opeyemi email: kabir.olorede@kwasu.edu.ng year: '2026' notes: R package version 0.1.0 doi: 10.5281/zenodo.22310095 url: https://CRAN.R-project.org/package=spfcICOMP repository: https://ilovemaths.r-universe.dev repository-code: https://github.com/ilovemaths/spfcICOMP commit: f6450e11d19cd776e30e1266739ff4626a28b843 url: https://CRAN.R-project.org/package=spfcICOMP date-released: '2026-09-06' contact: - family-names: Olorede given-names: Kabir Opeyemi email: kabir.olorede@kwasu.edu.ng