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:Yuri Ahuja [aut, cre], Tianxi Cai [aut], PARSE LTD [aut]

SAMGEP_0.1.1.tar.gz
SAMGEP_0.1.1.zip(r-4.5)SAMGEP_0.1.1.zip(r-4.4)SAMGEP_0.1.1.zip(r-4.3)
SAMGEP_0.1.1.tgz(r-4.4-x86_64)SAMGEP_0.1.1.tgz(r-4.4-arm64)SAMGEP_0.1.1.tgz(r-4.3-x86_64)SAMGEP_0.1.1.tgz(r-4.3-arm64)
SAMGEP_0.1.1.tar.gz(r-4.5-noble)SAMGEP_0.1.1.tar.gz(r-4.4-noble)
SAMGEP_0.1.1.tgz(r-4.4-emscripten)SAMGEP_0.1.1.tgz(r-4.3-emscripten)
SAMGEP.pdf |SAMGEP.html✨
SAMGEP/json (API)

# Install 'SAMGEP' in R:
install.packages('SAMGEP', repos = c('https://celehs.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/celehs/samgep/issues

Pkgdown site:https://celehs.github.io

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

openblascpp

4.30 score 2 stars 2 scripts 134 downloads 1 exports 13 dependencies

Last updated 4 years agofrom:5d640c80ce. Checks:1 OK, 8 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 19 2025
R-4.5-win-x86_64WARNINGJan 19 2025
R-4.5-linux-x86_64WARNINGJan 19 2025
R-4.4-win-x86_64WARNINGJan 19 2025
R-4.4-mac-x86_64WARNINGJan 19 2025
R-4.4-mac-aarch64WARNINGJan 19 2025
R-4.3-win-x86_64WARNINGJan 19 2025
R-4.3-mac-x86_64WARNINGJan 19 2025
R-4.3-mac-aarch64WARNINGJan 19 2025

Exports:samgep

Dependencies:abindcodetoolsdoParallelforeachiteratorslatticemvtnormnlmenloptrplyrpROCRcppRcppArmadillo

Simulated Example

Yuri Ahuja

Rendered fromexample.Rmdusingknitr::rmarkdownon Jan 19 2025.

Last update: 2021-02-23
Started: 2020-12-01