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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.
| github.com/tslumley/bigQF |
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