Portmanteau Local Feature Discrimination for Matrix-Variate Data R package PLFD version 0.2.1 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>). Software Depends: R (>= 3.5.0) Imports: Rcpp (>= 1.0.2), mathjaxr LinkingTo: Rcpp (>= 1.0.2), RcppArmadillo (>= 0.9.800) Suggests: knitr, rmarkdown, markdown Zengchao Xu <zengc.xu@aliyun.com> Comprehensive R Archive Network (CRAN) Zengchao Xu [aut, cre], Shan Luo [aut], Zehua Chen [aut] GPL-3 2025-05-20 application/tgz https://CRAN.R-project.org/package=PLFD doi:10.32614/CRAN.package.PLFD en-US