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.
- Version1.6
- R versionunknown
- LicenseGPL-2
- Needs compilation?Yes
- Last release11/23/2021
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Thomas Lumley
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- Imports4 packages
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