Package: PLFD
Type: Package
Title: Portmanteau Local Feature Discrimination for Matrix-Variate Data
Version: 0.2.1
Date: 2025-05-20
Authors@R: c(
    person("Zengchao", "Xu", role = c("aut", "cre"), email = "zengc.xu@aliyun.com"),
    person("Shan", "Luo",    role="aut"),
    person("Zehua", "Chen",  role="aut"))
Maintainer: Zengchao Xu <zengc.xu@aliyun.com>
Description: The portmanteau local feature discriminant approach first
        identifies the local discriminant features and their
        differential structures, then constructs the discriminant rule
        by pooling the identified local features together. This method
        is applicable to high-dimensional matrix-variate data. See the
        paper by Xu, Luo and Chen (2023,
        <doi:10.1007/s13171-021-00255-2>).
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.2), mathjaxr
LinkingTo: Rcpp (>= 1.0.2), RcppArmadillo (>= 0.9.800)
URL: https://github.com/paradoxical-rhapsody/PLFD
BugReports: https://github.com/paradoxical-rhapsody/PLFD/issues
License: GPL-3
Language: en-US
Encoding: UTF-8
RoxygenNote: 7.3.2
Suggests: knitr, rmarkdown, markdown
RdMacros: mathjaxr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-10-26 09:10:16 UTC; root
Author: Zengchao Xu [aut, cre], Shan Luo [aut], Zehua Chen [aut]
Repository: https://cran.r-universe.dev
Date/Publication: 2025-05-20 04:30:02 UTC
RemoteUrl: https://github.com/cran/PLFD
RemoteRef: HEAD
RemoteSha: 2321e42c3be38fce2d754b9b32c8416ca26c9427