R Observatory: Metrics for gKRLS version 1.0.4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

gKRLS

1.0.4

Generalized Kernel Regularized Least Squares

1packages depend

7.7Kdownloads / year

91.0%test coverage

13/13checks pass

Overview

About

Maintained by Max GoplerudFirst published 2023-04-174 releasesCRAN page ↗GitHub ↗

Kernel regularized least squares, also known as kernel ridge regression, is a flexible machine learning method. This package implements this method by providing a smooth term for use with 'mgcv' and uses random sketching to facilitate scalable estimation on large datasets. It provides additional functions for calculating marginal effects after estimation and for use with ensembles ('SuperLearning'), double/debiased machine learning ('DoubleML'), and robust/clustered standard errors ('sandwich'). Chang and Goplerud (2024) doi:10.1017/pan.2023.27 provide further details.

Install

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

install.packages("gKRLS", 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("mgoplerud/gKRLS")

Development version from mgoplerud/gKRLS. 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-gkrls

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

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-gKRLS

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-gKRLS

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 5.2 min · r-devel-windows-x86_64

Code health

Yes

Tests · ratio 0.60

91.0%

Coverage · measured lines

100%

Documentation · exports

6

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-04-25
12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-04-22
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE

Show 1 earlier snapshots

NOTE2026-03-10
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 228 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 96%
Return-value docs: 80%
References docs: 44%

Downloads

7.7K

CRAN downloads in the past year

Rank #5,463 · ~21/day · ~639/mo

Releases R versions

Daily download trend is not available in this view yet.

25030 days

1.5K90 days

7.7K1 year

Compare downloads with other packages →

Also on409 r2u13 autocran

Repository

GitHub ↗ mgoplerud/gkrls

8Stars

3Forks

0Open issues

0Open PRs

0Releases

148Commits

5Contributors

148 commits · Last activity 2024-11-07

Stars over time

2024-09-09 · 82026-07-07 · 8

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/mgoplerud/gkrls on 2026-08-09.

Continuous integration (1)

GitHub Actions

CRAN release process (1)

cran-comments.md

Coverage (1)

Codecov

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Depends (2)

mgcvsandwich

Imports (4)

RcppMatrixmlr3 R6

LinkingTo (2)

Rcpp RcppEigen

Suggests (4)

SuperLearner mlr3misc DoubleML testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

vglmer

Code & Tests

People & History

People (2)

Maintainer (1)

Max Goplerud

Author, Maintainer

Authors (2)

Max Goplerud

Author, Maintainer

Qing Chang

Author

Package Timeline

4 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
1.0.4Latest
2024-11-07 · current release · diff ↗
1.0.3
2024-09-04 · diff ↗
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
1.0.2
2023-04-20 · diff ↗
1.0.1
2023-04-17
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2023-04-17
Total releases: 4 / 3 yrs
License: GPL (>= 2) OSI
Download size: 63 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Machine Learning & Statistical Learning

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("gKRLS")

Format

Goplerud, M., & Chang, Q. (2024). gKRLS: Generalized Kernel Regularized Least Squares (Version 1.0.4) [Computer software]. https://doi.org/10.32614/CRAN.package.gKRLS

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 gKRLS version 1.0.4 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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