Package: SAMGEP 0.1.0-1

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_0.1.0-1.tar.gz
SAMGEP_0.1.0-1.tar.gz(r-4.5-noble)SAMGEP_0.1.0-1.tar.gz(r-4.4-noble)
SAMGEP_0.1.0-1.tgz(r-4.4-emscripten)SAMGEP_0.1.0-1.tgz(r-4.3-emscripten)
SAMGEP.pdf |SAMGEP.html✨
SAMGEP/json (API)

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

Peer review:

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

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

openblascpp

2.70 score 2 scripts 128 downloads 1 exports 13 dependencies

Last updated 4 years agofrom:6a1e1fdad2. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 19 2024
R-4.5-linux-x86_64NOTEDec 19 2024

Exports:samgep

Dependencies:abindcodetoolsdoParallelforeachiteratorslatticemvtnormnlmenloptrplyrpROCRcppRcppArmadillo

Simulated Example

Yuri Ahuja

Rendered fromexample.Rmdusingknitr::rmarkdownon Dec 19 2024.

Last update: 2021-01-06
Started: 2021-01-06