R Observatory: Metrics for KRLS version 1.7-1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

KRLS

1.7-1Package record

Kernel-Based Regularized Least Squares

2packages depend

6.3Kdownloads / year

76.3%test coverage

13/13flavors OK

Overview

About

Maintained by Jens HainmuellerCRAN page ↗GitHub ↗Website ↗Issues ↗

Implements Kernel-based Regularized Least Squares (KRLS), a machine learning method to fit multidimensional functions y = f(x) for regression and classification problems without relying on linearity or additivity assumptions. KRLS finds the best fitting function by minimizing the squared loss of a Tikhonov regularization problem, using Gaussian kernels as radial basis functions. For further details see Hainmueller and Hazlett (2014, doi:10.1093/pan/mpt019).

Changes in 1.7-1

Test-only patch to clear the CRAN "Additional issues" MKL check.

The backward-compatibility test "default lambda_method is 'loo'" no longer asserts that two independent krls() fits select a bit-identical lambda. Both fits run the same deterministic exact path, so they agree exactly under a reproducible (single-threaded) BLAS, but under a non-reproducible multithreaded BLAS such as Intel MKL the leave-one-out objective differs at the ~1e-14 level between the two calls. Because that objective is nearly flat over a wide lambda range, the golden-section search amplifies the difference into a large gap in the selected lambda (observed 0.052 vs ~0 on MKL). The test now checks the actual contract — that the default objective is LOO, carried by the lambda_method label — and leaves the value comparison out. No package code changed; results on the reference BLAS are unaffected.

From NEWS.md in the release

Install

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

install.packages("KRLS", 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("j-hai/KRLS")

Development version from j-hai/KRLS. 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-krls

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-KRLS

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-KRLS

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: 2.8 min · r-release-macos-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-05-06
NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.7-1

README· In the repository, left out of the releaseVignettesYes · 2 · evaluation depends on the environmentNEWSYes · 100% structured · mentions 1.7-1Citation fileYes · cites a publicationWebsiteYes

Cites a JSS article

Help pages: 11
Examples that run: 83%5 run in a plain check · 1 never run
Exported functions with examples: 67%
Documented parameters: 69%
Return-value docs: 89%
Help pages citing references: 27%

Vignettes (2)

How these are measured

Downloads

6.3K

CRAN downloads in the past year

Rank #7,335 · ~17/day · ~524/mo

Releases R versions

Daily download trend is not available in this view yet.

42830 days

1.2K90 days

6.3K1 year

Compare downloads with other packages →

Also on104 r2u4 autocran

How downloads are counted

Repository

j-hai/krls ↗Account: j-hai

0Stars

1Forks

0Open issues

0Open PRs

0Releases

28Commits

2Commit identities

28 commits · Last activity 2026-07-05

Responsiveness

How these are sampled

PRs merged (all time): 67%
Median days to close, 50 most recently updated closed issues: not measured
Median days to close, 50 most recently updated closed PRs: 11

Forks over time

2026-05-24 · 12026-09-20 · 1

How these are measured

PracticesBeta

5 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/j-hai/krls on 2026-10-21.

Continuous integration (2)

GitHub ActionsR CMD check workflow

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

CRAN release process (3)

cran-comments.mdrevdep/CRAN-SUBMISSION

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

AI coding toolsBeta

This repository shows signs of AI coding tools.

Claude Codefirst seen 2026-04-30
Pull request it wrote: opened by a project member
Commits: at least 20 crediting it in the message

Models named in its commits

Claude Opus 4.718 commits · Apr to Jun 2026
Claude Opus 4.82 commits · Jul 2026

Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

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

Depends (0)

none

Imports (3)

grDevicesgraphicsstats

LinkingTo (0)

none

Suggests (6)

latticetestthat knitr rmarkdown ggplot2 generics

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

2direct

0indirect

Imports 2

Depends, Imports or LinkingTo, most downloaded first

InfluenceBorrowing qqkrls

How these are counted

Code & Tests

People & History

People (2)

Jens Hainmueller

Author, Maintainer · added in 1.1-0

Chad Hazlett

Author · added in 1.1-0

Maintainer since 0.1 (2011)

Listed in earlier versions (1)

Jens Hainmueller Chad Hazlett

no longer listed · 0.1 to 1.0-0

Releases (10)

Pick two releases to compare their code metrics.

1.7-1Latest
record
2026-07-06 · current release · diff ↗
1.7-0
record
2026-06-05 · diff ↗ ·
added 3 exports
b_maxvarK, b_maxvarK_nystrom, get_landmarks
1.1-0
record
2026-04-30 · diff ↗
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
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
1.0-0
record
2017-07-10 · diff ↗
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 11 earlier eventsHide 11 earlier events

0.3-7
record
2014-05-21 · diff ↗
R
R 3.1.0 released · 2014-04-10
0.3-5
record
2013-12-20 · diff ↗
0.3-2
record
2013-08-10 · diff ↗
0.3-1
record
2013-08-07 · diff ↗ ·
added 2 exports
summary.krls, plot.krls
R
R 3.0.0 released · 2013-04-03
R
R 2.15.0 released · 2012-03-30
0.2
record
2011-12-27 · diff ↗
R
R 2.14.0 released · 2011-10-31
0.1
record
2011-09-30
R
R 2.13.0 released · 2011-04-13

Package metadata

First published: 2011-09-30
Total releases: 10 / 15 yrs
License: GPL (>= 2) OSI
Download size: 130 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("KRLS")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.18637/jss.v079.i03.

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 KRLS version 1.7-1 [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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