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 . Also provides stochastic singular value decomposition for dense or sparse matrices.


Reference manual

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1.6 by Thomas Lumley, 4 days ago


Browse source code at https://github.com/cran/bigQF

Authors: Thomas Lumley

Documentation:   PDF Manual  

GPL-2 license

Imports svd, CompQuadForm, Matrix, stats, coxme

Depends on methods

Suggests knitr, rmarkdown, SKAT

See at CRAN