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.


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install.packages("bigQF")

1.6 by Thomas Lumley, 4 days ago


https://github.com/tslumley/bigQF


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