Package: FastKM 1.1
FastKM: A Fast Multiple-Kernel Method Based on a Low-Rank Approximation
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>.
Authors:
FastKM_1.1.tar.gz
FastKM_1.1.zip(r-4.5)FastKM_1.1.zip(r-4.4)FastKM_1.1.zip(r-4.3)
FastKM_1.1.tgz(r-4.4-any)FastKM_1.1.tgz(r-4.3-any)
FastKM_1.1.tar.gz(r-4.5-noble)FastKM_1.1.tar.gz(r-4.4-noble)
FastKM_1.1.tgz(r-4.4-emscripten)FastKM_1.1.tgz(r-4.3-emscripten)
FastKM.pdf |FastKM.html✨
FastKM/json (API)
| # Install 'FastKM' in R: |
| install.packages('FastKM', repos = c('https://sth1402.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:6c23c776a3. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 04 2024 |
| R-4.5-win | NOTE | Sep 04 2024 |
| R-4.5-linux | NOTE | Sep 04 2024 |
| R-4.4-win | NOTE | Sep 04 2024 |
| R-4.4-mac | NOTE | Sep 04 2024 |
| R-4.3-win | NOTE | Sep 04 2024 |
| R-4.3-mac | NOTE | Sep 04 2024 |
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| A Fast Multiple-Kernel Method Based on a Low-Rank Approximation | FastKM-package FastKM |
| Create a geno Object. | geno |
| Class '"geno"' | geno-class |
| A Fast Multiple-Kernel Method Based on a Low-Rank Approximation with Design Matrix Inputs | KITdesign |
| A Fast Multiple-Kernel Method Based on a Low-Rank Approximation with Kernel Inputs. | KITkernel |
| Create a nongeno Object | nongeno |
| Class '"nongeno"' | nongeno-class |
