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: 2025-05-20 01:20:11 UTC; zengc
Author: Zengchao Xu [aut, cre],
  Shan Luo [aut],
  Zehua Chen [aut]
Repository: CRAN
Date/Publication: 2025-05-20 04:30:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-27 00:08:42 UTC; unix
Archs: PLFD.so.dSYM
