R Observatory: Metrics for matsketch version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

matsketch

0.1.0Package record

Randomized Matrix Computations from Few Entries and Products

0packages depend

362downloads / year

95.7%test coverage

13/13flavors OK

Overview

About

Maintained by Muhammad FarooqiCRAN page ↗GitHub ↗Website ↗Issues ↗

Implements recent randomized algorithms that answer questions about a large positive-semidefinite matrix while touching only a small part of it. Randomly pivoted Cholesky builds a low-rank approximation from a few rows of a kernel matrix (Chen, Epperly, Tropp and Webber (2025) doi:10.1002/cpa.22234), with an accelerated variant based on rejection sampling (Epperly, Tropp and Webber (2025) doi:10.1137/24m1699048). The XTrace, XNysTrace and XDiag estimators recover the trace and diagonal of a matrix that is available only through matrix-vector products (Epperly, Tropp and Webber (2024) doi:10.1137/23m1548323), alongside the Hutch++ estimator of Meyer, Musco, Musco and Woodruff (2021) doi:10.1137/1.9781611976496.16. Randomized Nystrom preconditioning speeds up the conjugate gradient method for regularized linear systems (Frangella, Tropp and Udell (2023) doi:10.1137/21m1466244). These pieces are combined to fit restricted maximum likelihood variance-component models on genomic relationship matrices without forming or factorizing the covariance matrix.

Changes in 0.1.0

First release.
rpchol(): randomly pivoted Cholesky, in its simple and accelerated (rejection-sampling) forms, with greedy and uniform pivoting as baselines.
trace_est() and diag_est(): the XTrace, XNysTrace and XDiag estimators, with Hutch++ and Girard-Hutchinson for comparison.
nystrom(), nystrom_precond(), effective_dim() and pcg(): randomized Nystrom preconditioning for conjugate gradients, solving many right-hand sides at once.
reml_sketch() and reml_exact(): variance components by average-information REML, with the covariance matrix never formed in the sketched fit.
kernel_matrix() and grm_matrix(): kernel and genomic relationship matrices evaluated only where needed.

From NEWS.md in the release

Install

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

install.packages("matsketch", 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("mqfarooqi1/matsketch")

Development version from mqfarooqi1/matsketch. 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-matsketch

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-matsketch

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-matsketch

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: 5.4 min · r-oldrel-macos-x86_64

Status changes

OK13 OKNow
OK5 OK2026-09-22

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.0

READMEYes · 436 wordsVignettesYes · 2 · dynamicNEWSYes · 67% structured · mentions 0.1.0Citation fileYes · software entry onlyWebsiteYes · pkgdown

Help pages: 16 (1 internal)includes a package overview page
Examples that run: 100%15 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 63%

Vignettes (2)

How these are measured

Downloads

362

CRAN downloads in the past year

Rank #25,284 · ~1/day · ~30/mo

Releases R versions

Daily download trend is not available in this view yet.

31530 days

36290 days

3621 year

Compare downloads with other packages →

Also on5 r2u1 autocran

How downloads are counted

Repository

mqfarooqi1/matsketch ↗Account: mqfarooqi1

0Stars

0Forks

0Open issues

0Open PRs

0Releases

Last activity 2026-09-21

Responsiveness

not measured

How these are measured

PracticesBeta

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

Checks run against github.com/mqfarooqi1/matsketch on 2026-10-22.

Continuous integration (2)

GitHub ActionsR CMD check workflow

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

Docs source (4)

README.Rmdpkgdown

GitHub Pages site last deployed 2026-09-21 · The repository has a site deploy workflow

pkgdown site last built 2026-09-21

Reproducibility and dev environment (1)

data-raw/

CRAN release process (1)

cran-comments.md

Show all practicesHide 1 practice

Research and citation (1)

CITATION.cff

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

Dependencies

Declared dependencies

3 external dependencies (excludes base and recommended)

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

Depends (1)

R >= 4.1.0

Imports (3)

graphicsgrDevicesstats

LinkingTo (0)

none

Suggests (4)

knitrMatrixrmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (1)

Muhammad Farooqi

Author, Maintainer since 0.1.0 (2026)

Releases (1)

0.1.0Latest
record
2026-09-21 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-09-21
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1.0
Download size: 128 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("matsketch")

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

The repository also keeps a CITATION.cff.

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 matsketch version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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