Package: spfcICOMP
Title: Shrinkage Principal Fitted Components with Information
        Complexity-Based Model Selection
Version: 0.1.0.9000
Authors@R: 
    person("Kabir Opeyemi", "Olorede", email = "kabir.olorede@kwasu.edu.ng",
           role = c("aut", "cre", "cph"))
Description: 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)
        <doi:10.1214/08-STS275>, Chen et al. (2010)
        <doi:10.1109/TSP.2010.2053029>, Bozdogan (2000)
        <doi:10.1006/jmps.1999.1277>, and Olorede and Yahya (2019)
        <doi:10.48550/arXiv.1909.13017>.
License: MIT + file LICENSE
URL: https://github.com/ilovemaths/spfcICOMP,
        https://CRAN.R-project.org/package=spfcICOMP,
        https://doi.org/10.5281/zenodo.22310094
BugReports: https://github.com/ilovemaths/spfcICOMP/issues
Encoding: UTF-8
Language: en-GB
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Imports: MASS
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Config/testthat/edition: 3
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
Repository: https://ilovemaths.r-universe.dev
Date/Publication: 2026-09-06 14:22:24 UTC
RemoteUrl: https://github.com/ilovemaths/spfcicomp
RemoteRef: HEAD
RemoteSha: f6450e11d19cd776e30e1266739ff4626a28b843
NeedsCompilation: no
Packaged: 2026-10-06 12:28:27 UTC; root
Author: Kabir Opeyemi Olorede [aut, cre, cph]
Maintainer: Kabir Opeyemi Olorede <kabir.olorede@kwasu.edu.ng>