tslumley/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.
Getting started
Browse package contents
Package details |
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| Author | Thomas Lumley |
| Maintainer | Thomas Lumley <t.lumley@auckland.ac.nz> |
| License | GPL-2 |
| Version | 1.6 |
| URL | https://github.com/tslumley/bigQF |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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