Package: PLFD 0.2.0

Zengchao Xu

PLFD: Portmanteau Local Feature Discrimination for Matrix-Variate Data

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/gmt2gd>).

Authors:Zengchao Xu [aut, cre], Shan Luo [aut], Zehua Chen [aut]

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PLFD/json (API)
NEWS

# Install 'PLFD' in R:

install.packages('PLFD', repos = c('https://paradoxical-rhapsody.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/paradoxical-rhapsody/plfd/issues

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

On CRAN:

1 exports 0.63 score 3 dependencies 3 scripts 204 downloads

Last updated 2 years agofrom:81291733f2. Checks:OK: 1 NOTE: 8. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Sep 14 2024
R-4.5-win-x86_64	NOTE	Sep 14 2024
R-4.5-linux-x86_64	NOTE	Sep 14 2024
R-4.4-win-x86_64	NOTE	Sep 14 2024
R-4.4-mac-x86_64	NOTE	Sep 14 2024
R-4.4-mac-aarch64	NOTE	Sep 14 2024
R-4.3-win-x86_64	NOTE	Sep 14 2024
R-4.3-mac-x86_64	NOTE	Sep 14 2024
R-4.3-mac-aarch64	NOTE	Sep 14 2024