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Quadratic Forms in Large Matrices

0packages depend
3.5Kdownloads / year
–test coverage
0/13flavors OK

Overview

About

A computationally-efficient leading-eigenvalue approximation to tail probabilities and quantiles of large quadratic forms, in particular for the Sequence Kernel Association Test (SKAT) used in genomics doi:10.1002/gepi.22136. Also provides stochastic singular value decomposition for dense or sparse matrices.

Install

Health

CRAN checks
13NOTE
Check messages
NOTERd filesr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64
checkRd: (-1) pQF.Rd:30: Lost braces; missing escapes or markup?
    30 | When \code{M} is not square, a randomised estimator for the trace of \code{crossprod(M)^2} is used. This is the sample size. When \code{M} is of \code{"matrixfree"} and does not include the trace of {crossprod(M)} as a component, this sample size will also be used to compute that. See Hutchinson reference. }
       |                                                                                                                                                                                                        ^
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Thomas Lumley <t.lumley@auckland.ac.nz>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Thomas",
                    family = "Lumley",
                    role = c("aut", "cre"),
                    email = "t.lumley@auckland.ac.nz")
as necessary.

CRAN check page ↗

Slowest check: 4.0 min · r-devel-windows-x86_64
Status changes
  • NOTE13 NOTE2026-09-08
  • ERROR12 NOTE, 1 ERROR2026-09-07
  • NOTE14 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.6
READMENoVignettesYes · 3 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
9includes a package overview page
Examples that run
100%8 run in a plain check
Exported functions with examples
100%
Documented parameters
84%
Return-value docs
100%
Help pages citing references
67%

Downloads

3.5K
CRAN downloads in the past year
Rank #7,484 · ~10/day · ~294/mo
Daily download trend is not available in this view yet.
33030 days
1.2K90 days
3.5K1 year
Compare downloads with other packages →
Also on380 r2u36 autocran

Repository

6Stars
3Forks
1Open issues
1Open PRs
0Releases
55Commits
1Commit identities
55 commits · Last activity 2021-11-23
Responsiveness
not measured

Stars over time

2021-10-22 · 62026-07-07 · 6
PracticesBeta

Checks run against github.com/tslumley/bigqf on 2026-10-18.

No development-tooling practices detected in the upstream repository.

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

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)

Installing bigQF adds 4 packages (4 with compiled code, 1.2 MB of source tarballs). Heaviest: coxme 1.0 MB, svd 119 KB, bdsmatrix 47 KB.

Depends (2)
R >= 2.10methods
Imports (5)
LinkingTo (0)
none
Suggests (3)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (from the free-text Author field) (1)

Maintainer since 1.5 (2021)

Releases (2)

Pick two releases to compare their code metrics.

  • 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
  • 1.6Latest
    record
    2021-11-23 · current release · diff ↗
  • 1.5
    record
    2021-11-08
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-11-08
Total releases
2 / 5 yrs
License
GPL-2 OSI
Minimum R
≥ 2.10
Bundled data
342 KB / 3 files
Download size
391 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("bigQF")

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for bigQF version 1.6 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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