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
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-devel-UCRT: 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-release (x86_64): bigQF_1.6.tgz, r-oldrel: bigQF_1.6.tgz
Old sources: bigQF archive

Linking:

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