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PLFD  

Portmanteau Local Feature Discrimination for Matrix-Variate Data
View on CRAN: Click here


Download and install PLFD package within the R console
Install from CRAN:
install.packages("PLFD")

Install from Github:
library("remotes")
install_github("cran/PLFD")

Install by package version:
library("remotes")
install_version("PLFD", "0.2.1")



Attach the package and use:
library("PLFD")
Maintained by
Zengchao Xu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-08-09
Latest Update: 2025-05-20
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 (2021, ).
How to cite:
Zengchao Xu (2021). PLFD: Portmanteau Local Feature Discrimination for Matrix-Variate Data. R package version 0.2.1, https://cran.r-project.org/web/packages/PLFD. Accessed 01 Sep. 2026.
Previous versions and publish date:
(2026-07-09 08:16), 0.1.0 (2021-08-09 09:40), 0.1.1 (2021-09-17 14:30), 0.2.0 (2023-01-10 09:13)
Other packages that cited PLFD R package
View PLFD citation profile
Other R packages that PLFD depends, imports, suggests or enhances
Complete documentation for PLFD
Functions, R codes and Examples using the PLFD R package
Some associated functions: PLFD-package . plfd . predict.plfd . print.plfd . 
Some associated R codes: PLFD-package.R . RcppExports.R . get-T2.R . get-discriminantPara.R . get-feature-blocks.R . get-paras.R . get-suppSet.R . plfd.R . predict-plfd.R . print-plfd.R . size2blocks.R .  Full PLFD package functions and examples
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