CRAN/E | PLFD

PLFD

Portmanteau Local Feature Discrimination for Matrix-Variate Data

Installation

About

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, doi:10.1007/s13171-021-00255-2).

github.com/paradoxical-rhapsody/PLFD
Bug report File report

Key Metrics

Version 0.2.0
R ≥ 3.5.0
Published 2023-01-10 479 days ago
Needs compilation? yes
License GPL-3
CRAN checks PLFD results
Language en-US

Downloads

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Maintainer

Maintainer

Zengchao Xu

zengc.xu@aliyun.com

Authors

Zengchao Xu

aut / cre

Shan Luo

aut

Zehua Chen

aut

Material

README
NEWS
Reference manual
Package source

Vignettes

PLFD-examples

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

PLFD archive

Depends

R ≥ 3.5.0

Imports

Rcpp ≥ 1.0.2
mathjaxr

Suggests

knitr
rmarkdown
markdown

LinkingTo

Rcpp ≥ 1.0.2
RcppArmadillo ≥ 0.9.800