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 | 
| Reference manual: | bigQF.html , bigQF.pdf | 
| Vignettes: | Checking pQF vs SKAT (source, R code) Matrix-free computations (source) SKAT, weights, and projections (source, R code) | 
| 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 | 
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