R Observatory: Metrics for enetLTS version 1.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

enetLTS

1.1.0Package record

Robust and Sparse Methods for High Dimensional Linear and Binary and Multinomial Regression

0packages dependsuggested by 1

27.6Kdownloads / year

–test coverage

0/13flavors OK

Overview

About

Maintained by Fatma Sevinc KurnazCRAN page ↗

Fully robust versions of the elastic net estimator are introduced for linear and binary and multinomial regression, in particular high dimensional data. The algorithm searches for outlier free subsets on which the classical elastic net estimators can be applied. A reweighting step is added to improve the statistical efficiency of the proposed estimators. Selecting appropriate tuning parameters for elastic net penalties are done via cross-validation.

Install

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

install.packages("enetLTS", 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-enetlts

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-enetLTS

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-enetLTS

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

13NOTE

Check messages

NOTERd filesr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64

checkRd: (-1) enetLTS-package.Rd:41: Lost braces; missing escapes or markup?
    41 |   \code{family="binomial"} should be a factor with two levels which is coded as \code{0} and {1}.
       |                                                                                              ^

NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Maintainer: ‘Fatma Sevinc Kurnaz <fatmasevinckurnaz@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = c("Fatma", "Sevinc"),
                      family = "Kurnaz",
                      role = c("aut", "cre"),
                      email = "fatmasevinckurnaz@gmail.com"),
               person(given = "Irene",
                      family = "Hoffmann",
                      role = "aut"),
               person(given = "Peter",
                      family = "Filzmoser",
                      role = "aut"))
as necessary.

CRAN check page ↗

Slowest check: 2.6 min · r-oldrel-windows-x86_64

Status changes

NOTE13 NOTENow
NOTE14 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.1.0

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 14
Examples that run: 100%13 run in a plain check
Exported functions with examples: 92%
Documented parameters: 99%
Return-value docs: 100%
Help pages citing references: 43%

How these are measured

Downloads

27.6K

CRAN downloads in the past year

Rank #3,509 · ~76/day · ~2.3K/mo

Releases R versions

Daily download trend is not available in this view yet.

83230 days

3.1K90 days

27.6K1 year

Compare downloads with other packages →

Also on82 r2u2 autocran

How downloads are counted

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Installing enetLTS adds 31 packages (14 with compiled code, 26 MB of source tarballs). Heaviest: ggplot2 6.0 MB, glmnet 2.7 MB, robustbase 2.2 MB.

Depends (0)

none

Imports (9)

ggplot2 glmnetgridreshapeparallelcvToolsstatsrobustbase robustHD

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Suggested by 1

Suggests, most downloaded first

VIM

How these are counted

Code & Tests

People & History

People (from the free-text Author field) (3)

Fatma Sevinc Kurnaz

Irene Hoffmann

Peter Filzmoser

Maintainer since 0.1.0 (2018)

Releases (2)

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
1.1.0Latest
record
2022-05-22 · current release · diff ↗ ·
removed 1 export
coef.enetLTS
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
0.1.0
record
2018-01-22
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2018-01-22
Total releases: 2 / 8 yrs
License: GPL (>= 3) OSI
Download size: 34 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("enetLTS")

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 enetLTS version 1.1.0 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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