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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