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✨
DESCRIPTION |NEWS
card.svg |card.png
PLFD/json (API)

# 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 510 downloads 1 exports 3 dependencies

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

Target	Result	Time
linux-devel-arm64	OK	122
linux-devel-x86_64	OK	127
source / vignettes	OK	181
linux-release-arm64	OK	150
linux-release-x86_64	OK	125
macos-release-arm64	OK	92
macos-release-x86_64	OK	164
macos-oldrel-arm64	OK	77
macos-oldrel-x86_64	OK	163
windows-devel	OK	114
windows-release	OK	102
windows-oldrel	OK	91
wasm-release	OK	105