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 |
Reference manual: | SAMGEP.pdf |
Vignettes: |
Simulated Example (source, R code) |
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-devel (arm64): SAMGEP_0.1.0-1.tgz, r-release (arm64): SAMGEP_0.1.0-1.tgz, r-oldrel (arm64): SAMGEP_0.1.0-1.tgz, r-devel (x86_64): 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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