Package: SAMGEP 0.1.1
Yuri Ahuja
SAMGEP: A Semi-Supervised Method for Prediction of Phenotype Event Times
A novel semi-supervised machine learning algorithm to predict phenotype event times using Electronic Health Record (EHR) data.
Authors:
SAMGEP_0.1.1.tar.gz
SAMGEP_0.1.1.zip(r-4.7-x86_64)SAMGEP_0.1.1.zip(r-4.7-arm64)SAMGEP_0.1.1.zip(r-4.6-x86_64)SAMGEP_0.1.1.zip(r-4.6-arm64)SAMGEP_0.1.1.zip(r-4.5-x86_64)
SAMGEP_0.1.1.tgz(r-4.6-x86_64)SAMGEP_0.1.1.tgz(r-4.6-arm64)SAMGEP_0.1.1.tgz(r-4.5-x86_64)SAMGEP_0.1.1.tgz(r-4.5-arm64)
SAMGEP_0.1.1.tar.gz(r-4.7-arm64)SAMGEP_0.1.1.tar.gz(r-4.7-x86_64)SAMGEP_0.1.1.tar.gz(r-4.6-arm64)SAMGEP_0.1.1.tar.gz(r-4.6-x86_64)
SAMGEP_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
SAMGEP/json (API)
| # Install 'SAMGEP' in R: |
| install.packages('SAMGEP', repos = c('https://celehs.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/celehs/samgep/issues
Pkgdown/docs site:https://celehs.github.io
Datasets:
- simdata - Simulated Dataset
Last updated from:5d640c80ce. Checks:13 WARNING, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | WARNING | 155 | ||
| linux-devel-x86_64 | WARNING | 146 | ||
| source / vignettes | OK | 258 | ||
| linux-release-arm64 | WARNING | 170 | ||
| linux-release-x86_64 | WARNING | 140 | ||
| macos-release-arm64 | WARNING | 114 | ||
| macos-release-x86_64 | WARNING | 154 | ||
| macos-oldrel-arm64 | WARNING | 91 | ||
| macos-oldrel-x86_64 | WARNING | 243 | ||
| windows-devel-arm64 | WARNING | 214 | ||
| windows-devel-x86_64 | WARNING | 145 | ||
| windows-release-arm64 | WARNING | 191 | ||
| windows-release-x86_64 | WARNING | 106 | ||
| windows-oldrel-x86_64 | WARNING | 114 | ||
| wasm-release | OK | 125 |
Exports:samgep
Dependencies:abindcodetoolsdoParallelforeachiteratorslatticemvtnormnlmenloptrpROCRcppRcppArmadillo
