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
Documentation
Team
Thomas Lumley
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Last 30 days
This package has been downloaded 194 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2 times.
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Last 365 days
This package has been downloaded 2,927 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Jul 21, 2024 with 146 downloads.
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Dependencies
- Imports4 packages
- Suggests3 packages