R Observatory: Metrics for FastKRR version 0.2.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

FastKRR

0.2.1

Kernel Ridge Regression using 'RcppArmadillo'

0packages depend

2.5Kdownloads / year

68.7%test coverage

13/13checks pass

Overview

About

Maintained by Kwan-Young BakFirst published 2025-09-224 releasesCRAN page ↗GitHub ↗

Provides core computational operations in C++ via 'RcppArmadillo', enabling faster performance than pure R, improved numerical stability, and parallel execution with OpenMP where available. On systems without OpenMP support, the package automatically falls back to single-threaded execution with no user configuration required. For efficient model selection, it integrates with 'CVST' to provide sequential-testing cross-validation and additionally supports restricted maximum likelihood (REML) for continuous optimization of the regularization parameter. The package offers a unified interface for exact kernel ridge regression and three scalable approximations—Nyström, Pivoted Cholesky, and Random Fourier Features—allowing analyses with substantially larger sample sizes than are feasible with exact KRR. It also integrates with the 'tidymodels' ecosystem via the 'parsnip' model specification 'krr_reg', and the S3 method tunable.krr_reg(). To understand the theoretical background, one can refer to Wainwright (2019) doi:10.1017/9781108627771.

Install

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

install.packages("FastKRR", 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("kybak90/FastKRR")

Development version from kybak90/FastKRR. 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-fastkrr

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-FastKRR

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-FastKRR

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

Health

CRAN checks

13OK

Slowest check: 4.5 min · r-devel-windows-x86_64

Code health

Yes

Tests · ratio 0.37

68.7%

Coverage · measured lines

100%

Documentation · exports

7

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
OK2026-07-25
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-07-11
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 4 earlier snapshots

ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-04-22
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 662 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 83%
Documented parameters: 86%
Return-value docs: 86%
References docs: 0%

Downloads

2.5K

CRAN downloads in the past year

Rank #14,346 · ~7/day · ~206/mo

Releases R versions

Daily download trend is not available in this view yet.

28230 days

71890 days

2.5K1 year

Compare downloads with other packages →

Also on405 r2u17 autocran

Repository

GitHub ↗ kybak90/fastkrr

4Stars

0Forks

0Open issues

0Open PRs

0Releases

193Commits

5Contributors

193 commits · Last activity 2026-08-05 · +33.3% stars, 30d

Stars over time

2025-09-09 · 12026-07-22 · 4

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/kybak90/fastkrr on 2026-08-16.

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Docs source (1)

README.Rmd

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

16 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (7)

CVST generics parsnip Rcpp rlang tibble ggplot2

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (7)

knitr rmarkdown dials tidymodels modeldata dplyr testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (4)

Maintainer (1)

Kwan-Young Bak

Author, Maintainer, Copyright holder

Authors (4)

Kwan-Young Bak

Author, Maintainer, Copyright holder

Miyoung Jang

Author

Gyeongmin Kim

Author

Seyoung Lee

Author

Copyright holders (1)

Kwan-Young Bak

Author, Maintainer, Copyright holder

Package Timeline

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

0.2.1Latest
2026-07-21 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
0.1.2
2025-11-15 · diff ↗
0.1.1
2025-10-08 · diff ↗
0.1.0
2025-09-22
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2025-09-22
Total releases: 4 / 1 yrs
License: GPL (>= 2) OSI
Download size: 143 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("FastKRR")

Format

Bak, K., Jang, M., Kim, G., & Lee, S. (2026). FastKRR: Kernel Ridge Regression using 'RcppArmadillo' (Version 0.2.1) [Computer software]. https://doi.org/10.32614/CRAN.package.FastKRR

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 FastKRR version 0.2.1 [Data set]. HJJB, LLC. Data release v2026-08-16. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-16, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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