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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 hms.harvard.edu>
BugReports:https://github.com/celehs/SAMGEP/issues
License:GPL-3
URL:https://github.com/celehs/SAMGEP
NeedsCompilation:yes
Materials:README
CRAN checks:SAMGEP results

Documentation:

Reference manual:SAMGEP.html ,SAMGEP.pdf
Vignettes:Simulated Example (source,R code)

Downloads:

Package source: SAMGEP_0.1.0-1.tar.gz
Windows binaries: r-devel:SAMGEP_0.1.0-1.zip, r-release:SAMGEP_0.1.0-1.zip, r-oldrel:SAMGEP_0.1.0-1.zip
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

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=SAMGEPto link to this page.


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