Package: bigQF
Type: Package
Title: Quadratic Forms in Large Matrices
Version: 1.6
Author: Thomas Lumley
Maintainer: Thomas Lumley <t.lumley@auckland.ac.nz>
Description: 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.
URL: https://github.com/tslumley/bigQF
Imports: svd, CompQuadForm, Matrix, stats, coxme
Suggests: knitr, rmarkdown, SKAT
VignetteBuilder: knitr
Depends: R (>= 2.10), methods
License: GPL-2
NeedsCompilation: yes
Packaged: 2021-11-23 03:04:42 UTC; tlum005
Repository: CRAN
Date/Publication: 2021-11-23 10:10:11 UTC
Built: R 4.1.3; x86_64-w64-mingw32; 2023-04-17 16:33:35 UTC; windows
Archs: i386, x64
