R Observatory: Metrics for sparseLTSEigen version 0.2.0.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

sparseLTSEigen

0.2.0.1Package record

RcppEigen back end for sparse least trimmed squares regression

0packages depend

2.7Kdownloads / year

–test coverage

11/13flavors OK

Overview

About

Maintained by Andreas AlfonsCRAN page ↗

Use RcppEigen to fit least trimmed squares regression models with an L1 penalty in order to obtain sparse models.

Install

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

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

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

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-sparseltseigen

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-sparseLTSEigen

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-sparseLTSEigen

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

2NOTE11OK

Check messages

NOTEcompiled coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc

File ‘sparseLTSEigen/libs/sparseLTSEigen.so’:
  Found no calls to: ‘R_registerRoutines’, ‘R_useDynamicSymbols’

It is good practice to register native routines and to disable symbol
search.

See ‘Writing portable packages’ in the ‘Writing R Extensions’ manual.

CRAN check page ↗

Slowest check: 3.9 min · r-devel-windows-x86_64

Status changes

NOTE11 OK, 2 NOTENow
NOTE10 OK, 4 NOTE2026-04-22
ERROR9 OK, 4 NOTE, 1 ERROR2026-04-18
NOTE10 OK, 4 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.2.0.1

READMENoVignettesNoNEWSYes · 33% structuredCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 1includes a package overview page
Examples that run: 100%1 run in a plain check
Exported functions with examples: 100%
Documented parameters: not tracked
Return-value docs: 0%
Help pages citing references: 0%

How these are measured

Downloads

2.7K

CRAN downloads in the past year

Rank #16,389 · ~7/day · ~226/mo

Releases R versions

Daily download trend is not available in this view yet.

27230 days

76490 days

2.7K1 year

Compare downloads with other packages →

Also on340 r2u4 autocran

How downloads are counted

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Installing sparseLTSEigen adds 24 packages (12 with compiled code, 22 MB of source tarballs). Heaviest: ggplot2 6.0 MB, robustbase 2.2 MB, Rcpp 1.8 MB.

Depends (1)

Imports (2)

LinkingTo (2)

Suggests (1)

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)

Andreas Alfons

Author, Maintainer since 0.1.0 (2012)

Releases (6)

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
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
0.2.0.1Latest
record
2020-10-14 · current release · diff ↗
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
R
R 3.1.0 released · 2014-04-10
0.2.0
record
2013-12-10 · diff ↗
0.1.3
record
2013-04-16 · diff ↗

Show 5 earlier eventsHide 5 earlier events

R
R 3.0.0 released · 2013-04-03
0.1.2
record
2013-03-13 · diff ↗ ·
added 1 export
.CallSparseLTSEigen
0.1.1
record
2012-08-24 · diff ↗
0.1.0
record
2012-04-10
R
R 2.15.0 released · 2012-03-30

Package metadata

First published: 2012-04-10
Total releases: 6 / 14 yrs
License: GPL (>= 2) OSI
Download size: 14 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("sparseLTSEigen")

Format

Alfons, A. (2020). sparseLTSEigen: RcppEigen back end for sparse least trimmed squares regression (Version 0.2.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.sparseLTSEigen

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 sparseLTSEigen version 0.2.0.1 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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