Package: FastKM 1.2
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_1.2.tar.gz
FastKM_1.2.zip(r-4.7)FastKM_1.2.zip(r-4.6)FastKM_1.2.zip(r-4.5)
FastKM_1.2.tgz(r-4.6-any)FastKM_1.2.tgz(r-4.5-any)
FastKM_1.2.tar.gz(r-4.7-any)FastKM_1.2.tar.gz(r-4.6-any)
FastKM_1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
FastKM/json (API)
NEWS
| # 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 from:7fd57ff1d7. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 125 | ||
| source / vignettes | OK | 166 | ||
| linux-release-x86_64 | OK | 119 | ||
| macos-release-arm64 | OK | 113 | ||
| macos-oldrel-arm64 | OK | 103 | ||
| windows-devel | OK | 105 | ||
| windows-release | OK | 89 | ||
| windows-oldrel | OK | 85 | ||
| wasm-release | OK | 92 |
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 |
