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.

Version: 0.1.0-1
Depends: R (≥ 3.5.0)
Imports: stats, mvtnorm, nlme, pROC, abind, nloptr, foreach, doParallel, parallel, Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
Published: 2021-01-06
DOI: 10.32614/CRAN.package.SAMGEP
Author: Yuri Ahuja [aut, cre], Tianxi Cai [aut], PARSE LTD [aut]
Maintainer: Yuri Ahuja <Yuri_Ahuja at>
License: GPL-3
NeedsCompilation: yes
Materials: README
CRAN checks: SAMGEP results


Reference manual: SAMGEP.pdf
Vignettes: Simulated Example


Package source: SAMGEP_0.1.0-1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SAMGEP_0.1.0-1.tgz, r-oldrel (arm64): SAMGEP_0.1.0-1.tgz, r-release (x86_64): SAMGEP_0.1.0-1.tgz, r-oldrel (x86_64): SAMGEP_0.1.0-1.tgz


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