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bigQF: Quadratic Forms in Large Matrices

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.

Version: 1.6
Depends: R (≥ 2.10), methods
Imports: svd, CompQuadForm, Matrix, stats, coxme
Suggests: knitr, rmarkdown, SKAT
Published: 2021-11-23
DOI: 10.32614/CRAN.package.bigQF
Author: Thomas Lumley
Maintainer: Thomas Lumley <t.lumley at auckland.ac.nz>
License: GPL-2
URL: https://github.com/tslumley/bigQF
NeedsCompilation: yes
CRAN checks: bigQF results

Documentation:

Reference manual: bigQF.pdf
Vignettes: Checking pQF vs SKAT
Matrix-free computations
SKAT, weights, and projections

Downloads:

Package source: bigQF_1.6.tar.gz
Windows binaries: r-devel: bigQF_1.6.zip, r-release: bigQF_1.6.zip, r-oldrel: bigQF_1.6.zip
macOS binaries: r-release (arm64): bigQF_1.6.tgz, r-oldrel (arm64): bigQF_1.6.tgz, r-release (x86_64): bigQF_1.6.tgz, r-oldrel (x86_64): bigQF_1.6.tgz
Old sources: bigQF archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=bigQF to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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