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
MaintainerShow author details
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Last 30 days
This package has been downloaded 211 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 4 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,942 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jul 21, 2024 with 146 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports4 packages
- Suggests3 packages