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CRAN: Package bigQF

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:

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