| FastKM-package {FastKM} | R Documentation |
A Fast Multiple-Kernel Method Based on a Low-Rank Approximation
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, dichotomous, and survival traits and is implemented using the existing single-kernel analysis software 'SKAT' or 'coxKM'.
Details
| Package: | FastKM |
| Type: | Package |
| Version: | 1.1 |
| Date: | 2022-06-05 |
| License: | GPL-2 |
Author(s)
Shannon T. Holloway, Rachel Marceau, Wenbin Lu, Michele M. Sale, Bradford B. Worrall, Stephen R. Williams, Fang-Chi Hsu, and Jung-Ying Tzeng
Maintainer: Shannon T. Holloway <shannon.t.holloway@gmail.com>
References
Marceau, R., Lu, W., Holloway, S. T., Sale, M. M., Worrall, B. B., Williams, S. R., Hsu, F-C., and Tzeng, J-Y. (2015). A Fast Multiple-Kernel Method with Applications to Detect Gene-Environment Interaction. Genetic Epidemiology, 39, 456-468.