R Observatory: Metrics for robustfa version 1.2-0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

robustfa

1.2-0Package record

Object Oriented Solution for Robust Factor Analysis

1packages depend

6.3Kdownloads / year

0.0%test coverage

13/13flavors OK

Overview

About

Maintained by Frederic BertrandCRAN page ↗GitHub ↗Website ↗Issues ↗

Outliers virtually exist in any datasets of any application field. To avoid the impact of outliers, we need to use robust estimators. Classical estimators of multivariate mean and covariance matrix are the sample mean and the sample covariance matrix. Outliers will affect the sample mean and the sample covariance matrix, and thus they will affect the classical factor analysis which depends on the classical estimators (Pison, G., Rousseeuw, P.J., Filzmoser, P. and Croux, C. (2003) doi:10.1016/S0047-259X(02)00007-6). So it is necessary to use the robust estimators of the sample mean and the sample covariance matrix. There are several robust estimators in the literature: Minimum Covariance Determinant estimator, Orthogonalized Gnanadesikan-Kettenring, Minimum Volume Ellipsoid, M, S, and Stahel-Donoho. The most direct way to make multivariate analysis more robust is to replace the sample mean and the sample covariance matrix of the classical estimators to robust estimators (Maronna, R.A., Martin, D. and Yohai, V. (2006) doi:10.1002/0470010940) (Todorov, V. and Filzmoser, P. (2009) doi:10.18637/jss.v032.i03), which is our choice of robust factor analysis. We created an object oriented solution for robust factor analysis based on new S4 classes.

Changes in 1.2-0

version 1.2-0
maintainer email update
added unit tests
fix code to solve CRAN check issues

From NEWS.md in the release

Install

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

install.packages("robustfa", 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("fbertran/robustfa")

Development version from fbertran/robustfa. 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-robustfa

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-robustfa

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-robustfa

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: 2.3 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-04
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
WARNING12 OK, 1 WARNING2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.2-0

README· In the repository, left out of the releaseVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 1.2-0Citation fileNoWebsiteYes · pkgdown

Description cites a JSS article

Help pages: 30includes a package overview page
Examples that run: 100%21 run in a plain check
Exported functions with examples: 93%
Documented parameters: 100%
Return-value docs: 79%
Help pages citing references: 77%

Vignettes (1)

An Object-Oriented Solution for Robust Factor Analysis PDF

How these are measured

Downloads

6.3K

CRAN downloads in the past year

Rank #7,154 · ~17/day · ~527/mo

Releases R versions

Daily download trend is not available in this view yet.

47230 days

1.2K90 days

6.3K1 year

Compare downloads with other packages →

Also on93 r2u4 autocran

How downloads are counted

Repository

fbertran/robustfa ↗Account: fbertran

1Stars

0Forks

0Open issues

0Open PRs

0Releases

8Commits

1Commit identities

8 commits · Last activity 2025-09-24 · 0% stars, 30d

Responsiveness

not measured

Stars over time

2025-09-11 · 12026-07-07 · 1

How these are measured

PracticesBeta

8 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/fbertran/robustfa on 2026-10-22.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows

Docs source (3)

README.Rmdpkgdown

GitHub Pages site last deployed 2025-09-24

pkgdown site last built 2025-09-12

Coverage (1)

Coverage reporting

Lint, format, editor (1)

RStudio project

Show all practicesHide 1 practice

Git structural (1)

.gitattributes

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

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Installing robustfa adds 5 packages (4 with compiled code, 4.9 MB of source tarballs). Heaviest: robustbase 2.2 MB, rrcov 1.5 MB, mvtnorm 1.0 MB.

Depends (2)

R >= 2.15.0rrcov

Imports (3)

methodsstats4stats

LinkingTo (0)

none

Suggests (9)

gridlatticeclustermclustMASSellipse knitr rmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

Imports 1

Depends, Imports or LinkingTo, most downloaded first

CamelRatiosIndex

How these are counted

Code & Tests

Datasets

People & History

People (2)

Frederic Bertrand

Maintainer since 1.1-0 (2023) · added in 1.1-0

Ying-Ying Zhang (Robert)

Author · added in 1.1-0

Previously maintained by Ying-Ying Zhang (Robert) (1.0 to 1.0-5).

Listed in earlier versions (1)

Ying-Ying Zhang

no longer listed · 1.0 to 1.0-5

Releases (8)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
1.2-0Latest
record
2025-09-13 · 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
unarchivedReturned to CRAN
2023-04-16
1.1-0
record
2023-04-16 · diff ↗
archivedRemoved from CRAN
2022-06-20
check problems were not corrected despite reminders
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
R
R 3.3.0 released · 2016-05-03
R
R 3.2.0 released · 2015-04-16

Show 10 earlier eventsHide 10 earlier events

R
R 3.1.0 released · 2014-04-10
1.0-5
record
2013-11-12 · diff ↗
1.0-4
record
2013-10-20 · diff ↗ ·
added 1 export
compute_cov_cor
R
R 3.0.0 released · 2013-04-03
1.0-03
record
2012-07-06 · diff ↗
1.0-02
record
2012-06-18 · diff ↗
1.0-01
record
2012-05-11 · diff ↗
R
R 2.15.0 released · 2012-03-30
1.0
record
2012-03-12
R
R 2.14.0 released · 2011-10-31

Package metadata

First published: 2012-03-12
Total releases: 8 / 14 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 2.15.0
Bundled data: 40 KB / 1 file
Download size: 1.3 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("robustfa")

Format

Bertrand, F., & Zhang (Robert), Y. (2025). robustfa: Object Oriented Solution for Robust Factor Analysis (Version 1.2-0) [Computer software]. https://doi.org/10.32614/CRAN.package.robustfa

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 robustfa version 1.2-0 [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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