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
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.pdf
Vignettes: Simulated Example

Downloads:

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

Linking:

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