R Observatory: Metrics for kfda version 1.0.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

kfda

1.0.1Package record

Kernel Fisher Discriminant Analysis

0packages depend

6Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Donghwan KimCRAN page ↗GitHub ↗

Kernel Fisher Discriminant Analysis (KFDA) is performed using Kernel Principal Component Analysis (KPCA) and Fisher Discriminant Analysis (FDA). There are some similar packages. First, 'lfda' is a package that performs Local Fisher Discriminant Analysis (LFDA) and performs other functions. In particular, 'lfda' seems to be impossible to test because it needs the label information of the data in the function argument. Also, the 'ks' package has a limited dimension, which makes it difficult to analyze properly. This package is a simple and practical package for KFDA based on the paper of Yang, J., Jin, Z., Yang, J. Y., Zhang, D., and Frangi, A. F. (2004) DOI:10.1016/j.patcog.2003.10.015.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("kfda", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("ainsuotain/kfda")

Development version from ainsuotain/kfda. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-kfda

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-kfda

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-kfda

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 1.1 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-09-19
NOTE14 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.1

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 2
Examples that run: 100%2 run in a plain check
Exported functions with examples: 100%
Documented parameters: not tracked
Return-value docs: not tracked
Help pages citing references: 100%

How these are measured

Downloads

6K

CRAN downloads in the past year

Rank #11,020 · ~17/day · ~504/mo

Releases R versions

Daily download trend is not available in this view yet.

32330 days

96490 days

6K1 year

Compare downloads with other packages →

Also on76 r2u3 autocran

How downloads are counted

Repository

ainsuotain/kfda ↗Account: ainsuotain

1Stars

0Forks

0Open issues

0Open PRs

0Releases

7Commits

1Commit identities

License file reads as GPL-3.0 · 7 commits · Last activity 2020-05-13 · 0% stars, 30d

Responsiveness

not measured

Stars over time

2020-05-14 · 12026-07-07 · 1

How these are measured

PracticesBeta

Checks run against github.com/ainsuotain/kfda on 2026-10-22.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

1 external dependency (excludes base and recommended)

Installing kfda adds 1 package (1 with compiled code, 1.0 MB of source tarballs). Heaviest: kernlab 1.0 MB.

Depends (3)

R >= 3.0.0kernlabMASS

Imports (0)

none

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (1)

Donghwan Kim

Author, Maintainer since 1.0.0 (2017)

Releases (2)

Pick two releases to compare their code metrics.

1.0.1Latest
record
2026-09-08 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
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
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
1.0.0
record
2017-09-27
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2017-09-27
Total releases: 2 / 9 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.0.0
Download size: 3.2 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("kfda")

Format

Kim, D. (2026). kfda: Kernel Fisher Discriminant Analysis (Version 1.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.kfda

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for kfda version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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