R Observatory: Metrics for msda version 1.0.4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

msda

1.0.4Package record

Multi-Class Sparse Discriminant Analysis

0packages depend

2.6Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Yi YangCRAN page ↗GitHub ↗

Efficient procedures for computing a new Multi-Class Sparse Discriminant Analysis method that estimates all discriminant directions simultaneously. It is an implementation of the work proposed by Mai, Q., Yang, Y., and Zou, H. (2019) doi:10.5705/ss.202016.0117.

Install

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

install.packages("msda", 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("archer-yang-lab/msda")

Development version from archer-yang-lab/msda. 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-msda

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-msda

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-msda

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: 2.6 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.4

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 5
Examples that run: 100%5 run in a plain check
Exported functions with examples: 100%
Documented parameters: 93%
Return-value docs: 100%
Help pages citing references: 100%

How these are measured

Downloads

2.6K

CRAN downloads in the past year

Rank #19,994 · ~7/day · ~213/mo

Releases R versions

Daily download trend is not available in this view yet.

28730 days

65490 days

2.6K1 year

Compare downloads with other packages →

Also on339 r2u8 autocran

How downloads are counted

Repository

archer-yang-lab/msda ↗Account: archer-yang-lab

3Stars

2Forks

0Open issues

0Open PRs

0Releases

30Commits

1Commit identities

License file reads as GPL-2.0 · 30 commits · Last activity 2015-02-20 · The default branch showed an older version (1.0.2) than CRAN on 2026-10-11

Responsiveness

not measured

How these are measured

PracticesBeta

Checks run against github.com/archer-yang-lab/msda on 2026-10-11.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

0 external dependencies (excludes base and recommended)

Installing msda adds no packages beyond those that come with R.

Depends (2)

MatrixMASS

Imports (1)

methods

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

Datasets

People & History

People (3)

Yi Yang

Author, Maintainer since 1.0.1 (2014)

Qing Mai

Author

Hui Zou

Author

Releases (4)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
unarchivedReturned to CRAN
2025-03-28
1.0.4Latest
record
2025-03-28 · current release · diff ↗
R
R 4.4.0 released · 2024-04-24
archivedRemoved from CRAN
2024-04-20
issues were not corrected despite reminders
R
R 4.3.0 released · 2023-04-21
unarchivedReturned to CRAN
2022-09-12
1.0.3
record
2022-09-12 · diff ↗
archivedRemoved from CRAN
2022-05-09
email to the maintainer is undeliverable
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
R
R 3.4.0 released · 2017-04-21

Show 5 earlier eventsHide 5 earlier events

R
R 3.3.0 released · 2016-05-03
R
R 3.2.0 released · 2015-04-16
1.0.2
record
2015-02-20 · diff ↗
1.0.1
record
2014-10-03
R
R 3.1.0 released · 2014-04-10

Package metadata

First published: 2014-10-03
Total releases: 4 / 12 yrs
License: GPL-2 OSI
Bundled data: 117 KB / 1 file
Download size: 139 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("msda")

Format

Yang, Y., Mai, Q., & Zou, H. (2025). msda: Multi-Class Sparse Discriminant Analysis (Version 1.0.4) [Computer software]. https://doi.org/10.32614/CRAN.package.msda

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 msda version 1.0.4 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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