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Portmanteau Local Feature Discrimination for Matrix-Variate Data

0packages depend
6Kdownloads / year
–test coverage
13/13flavors OK

Overview

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

Changes in 0.2.1
  • drop CXX_STD = CXX11 according to the check results.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 3.3 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-04-22
Show 2 earlier changesHide 2 earlier changes
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.2.1
READMEYes · 60 wordsVignettesYes · 1 · dynamicNEWSYes · 33% structured · mentions 0.2.1Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
4 (1 internal)includes a package overview page
Examples that run
100%1 run in a plain check
Exported functions with examples
100%
Documented parameters
75%
Return-value docs
100%
Help pages citing references
25%
Vignettes (1)

Downloads

6K
CRAN downloads in the past year
Rank #8,813 · ~16/day · ~497/mo
Daily download trend is not available in this view yet.
45030 days
1.1K90 days
6K1 year
Compare downloads with other packages →
Also on366 r2u3 autocran

Repository

0Stars
0Forks
0Open issues
0Open PRs
0Releases
Last activity 2025-05-20
Responsiveness
not measured
PracticesBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/paradoxical-rhapsody/plfd on 2026-10-18.

CRAN release process (1)
cran-comments.md
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)

Installing PLFD adds 3 packages (2 with compiled code, 5.8 MB of source tarballs). Heaviest: mathjaxr 3.0 MB, Rcpp 1.8 MB, RcppArmadillo 1.0 MB.

Depends (1)
R >= 3.5.0
Imports (2)
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (3)
Author, Maintainer since 0.1.0 (2021)
Author
Releases (4)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.2.1Latest
    record
    2025-05-20 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 0.2.0
    record
    2023-01-10 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 0.1.1
    record
    2021-09-17 · diff ↗
  • 0.1.0
    record
    2021-08-09
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-08-09
Total releases
4 / 5 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Download size
23 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("PLFD")
Xu, Z., Chen, Z., & Luo, S. (2025). PLFD: Portmanteau Local Feature Discrimination for Matrix-Variate Data (Version 0.2.1) [Computer software]. https://doi.org/10.32614/CRAN.package.PLFD

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for PLFD version 0.2.1 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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