Package: FastKM Type: Package Title: A Fast Multiple-Kernel Method Based on a Low-Rank Approximation Version: 1.2 Date: 2025-05-03 Author: 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] Maintainer: Shannon T. Holloway Authors@R: c(person(given = "Rachel", family = "Marceau", role = "aut"), person(given = "Wenbin", family = "Lu", role = "aut"), person(given = c("Michele", "M."), family = "Sale", role = "aut"), person(given = c("Bradford", "B."), family = "Worrall", role = "aut"), person(given = c("Stephen", "R."), family = "Williams", role = "aut"), person(given = "Fang-Chi", family = "Hsu", role = "aut"), person(given = "Jung-Ying", family = "Tzeng", role = "aut"), person(given = c("Shannon", "T."), family = "Holloway", role = c("aut", "cre"), email = "shannon.t.holloway@gmail.com")) Description: 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 . License: GPL-2 Depends: rARPACK, stats, methods Suggests: coxKM, SKAT, survival NeedsCompilation: no Packaged: 2026-07-05 02:24:20 UTC; root Repository: https://sth1402.r-universe.dev Date/Publication: 2025-05-04 12:10:06 UTC RemoteUrl: https://github.com/cran/FastKM RemoteRef: HEAD RemoteSha: 7fd57ff1d727b10861cb74ad919110c2b9712475