R Observatory: Metrics for FastKRR version 0.2.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

FastKRR

0.2.1Package record

Kernel Ridge Regression using 'RcppArmadillo'

0packages depend

2.8Kdownloads / year

68.7%test coverage

13/13flavors OK

Overview

About

Maintained by Kwan-Young BakCRAN page ↗GitHub ↗Website ↗Issues ↗

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. 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-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). 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: 4.6 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-07-25
NOTE12 OK, 1 NOTE2026-07-11
OK13 OK2026-06-09

Show 4 earlier changesHide 4 earlier changes

ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-04-22
ERROR13 OK, 1 ERROR2026-04-18
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.2.1

READMEYes · 662 wordsVignettesNoNEWSNoCitation fileNoWebsiteYes

Help pages: 16 (2 internal)includes a package overview page
Examples that run: 83%10 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 71%
Documented parameters: 86%
Return-value docs: 86%
Help pages citing references: 0%

How these are measured

Downloads

2.8K

CRAN downloads in the past year

Rank #10,854 · ~8/day · ~233/mo

Releases R versions

Daily download trend is not available in this view yet.

37630 days

95190 days

2.8K1 year

Compare downloads with other packages →

Also on413 r2u7 autocran

How downloads are counted

Repository

kybak90/fastkrr ↗Account: kybak90

4Stars

0Forks

0Open issues

0Open PRs

0Releases

193Commits

5Commit identities

193 commits · Last activity 2026-08-05 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 89%
Median days to close, 50 most recently updated closed issues: not measured
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2025-09-22 · 22026-07-22 · 4

How these are measured

PracticesBeta

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

Checks run against github.com/kybak90/fastkrr on 2026-10-11.

Docs source (1)

README.Rmd

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

16 external dependencies (excludes base and recommended)

Installing FastKRR adds 38 packages (19 with compiled code, 34 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, Rcpp 1.8 MB.

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.

How these are counted

Code & Tests

People & History

People (4)

Kwan-Young Bak

Sungshin Women's University

Miyoung Jang

Author

Sungshin Women's University

Gyeongmin Kim

Author

Sungshin Women's University

Seyoung Lee

Author

Sungshin Women's University

Releases (4)

Pick two releases to compare their code metrics.

0.2.1Latest
record
2026-07-21 · current release · diff ↗ ·
added 1 export
fastkrr_fit_wrapper
R
R 4.6.0 released · 2026-04-24
0.1.2
record
2025-11-15 · diff ↗ ·
added 2 exports
error, param
0.1.1
record
2025-10-08 · diff ↗ ·
removed 4 exports
fit_krr, make_Z, pred_krr, rff_random
0.1.0
record
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

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 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 FastKRR version 0.2.1 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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