A Fast Multiple-Kernel Method Based on a Low-Rank Approximation R package FastKM version 1.2 A computationally efficient and statistically rigorous fast Kernel Machine method for multi-kernel analysis. The approach is based on a low-rank approximation to the nuisance effect kernel matrices. The algorithm is applicable to continuous, binary, and survival traits and is implemented using the existing single-kernel analysis software 'SKAT' and 'coxKM'. 'coxKM' can be obtained from <https://github.com/lin-lab/coxKM>. Software Depends: rARPACK, stats, methods Suggests: coxKM, SKAT, survival Shannon T. Holloway <shannon.t.holloway@gmail.com> Comprehensive R Archive Network (CRAN) Rachel Marceau [aut], Wenbin Lu [aut], Michele M. Sale [aut], Bradford B. Worrall [aut], Stephen R. Williams [aut], Fang-Chi Hsu [aut], Jung-Ying Tzeng [aut], Shannon T. Holloway [aut, cre] GPL-2 2025-05-04 application/tgz https://CRAN.R-project.org/package=FastKM doi:10.32614/CRAN.package.FastKM