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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.6 |
rolling linux/jammy R-4.5 | bigQF_1.6.tar.gz |
468.2 KiB |
1.6 |
rolling linux/noble R-4.5 | bigQF_1.6.tar.gz |
468.1 KiB |
1.6 |
rolling source/ R- | bigQF_1.6.tar.gz |
391.0 KiB |
1.6 |
latest linux/jammy R-4.5 | bigQF_1.6.tar.gz |
468.2 KiB |
1.6 |
latest linux/noble R-4.5 | bigQF_1.6.tar.gz |
468.1 KiB |
1.6 |
latest source/ R- | bigQF_1.6.tar.gz |
391.0 KiB |
1.6 |
2026-04-26 source/ R- | bigQF_1.6.tar.gz |
391.0 KiB |
1.6 |
2026-04-23 source/ R- | bigQF_1.6.tar.gz |
391.0 KiB |
1.6 |
2026-04-09 windows/windows R-4.5 | bigQF_1.6.zip |
476.9 KiB |
1.6 |
2025-04-20 source/ R- | bigQF_1.6.tar.gz |
391.0 KiB |