Package: PLFD 0.2.1

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 (2023, <doi:10.1007/s13171-021-00255-2>).

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

PLFD_0.2.1.tar.gz
PLFD_0.2.1.zip(r-4.7)PLFD_0.2.1.zip(r-4.6)PLFD_0.2.1.zip(r-4.5)
PLFD_0.2.1.tgz(r-4.6-x86_64)PLFD_0.2.1.tgz(r-4.6-arm64)PLFD_0.2.1.tgz(r-4.5-x86_64)PLFD_0.2.1.tgz(r-4.5-arm64)
PLFD_0.2.1.tar.gz(r-4.7-arm64)PLFD_0.2.1.tar.gz(r-4.7-x86_64)PLFD_0.2.1.tar.gz(r-4.6-arm64)PLFD_0.2.1.tar.gz(r-4.6-x86_64)
PLFD_0.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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:

openblas cpp openmp

3.70 score 3 scripts 605 downloads 1 exports 3 dependencies

Last updated from:cf2e525899. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	128
linux-devel-x86_64	OK	124
source / vignettes	OK	186
linux-release-arm64	OK	162
linux-release-x86_64	OK	126
macos-release-arm64	OK	152
macos-release-x86_64	OK	215
macos-oldrel-arm64	OK	106
macos-oldrel-x86_64	OK	283
windows-devel	OK	118
windows-release	OK	109
windows-oldrel	OK	115
wasm-release	OK	104