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SCORNET: Semi-Supervised Calibration of Risk with Noisy Event Times

A consistent, semi-supervised, non-parametric survival curve estimator optimized for efficient use of Electronic Health Record (EHR) data with a limited number of current status labels. See van der Laan and Robins (1997) <doi:10.2307/2670119>.

Version:0.1.1
Imports:Matrix,survival,pracma,foreach,doParallel, parallel,Rcpp
LinkingTo:Rcpp,RcppArmadillo
Suggests:knitr,rmarkdown
Published:2021-01-04
DOI:10.32614/CRAN.package.SCORNET
Author:Yuri Ahuja [aut, cre]
Maintainer:Yuri Ahuja <Yuri_Ahuja at hms.harvard.edu>
BugReports:https://github.com/celehs/SCORNET/issues
License:GPL-3
URL:https://github.com/celehs/SCORNET
NeedsCompilation:yes
Materials:README
CRAN checks:SCORNET results

Documentation:

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

Downloads:

Package source: SCORNET_0.1.1.tar.gz
Windows binaries: r-devel:SCORNET_0.1.1.zip, r-release:SCORNET_0.1.1.zip, r-oldrel:SCORNET_0.1.1.zip
macOS binaries: r-release (arm64):SCORNET_0.1.1.tgz, r-oldrel (arm64):SCORNET_0.1.1.tgz, r-release (x86_64):SCORNET_0.1.1.tgz, r-oldrel (x86_64):SCORNET_0.1.1.tgz
Old sources: SCORNET archive

Linking:

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


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